bayes theorem

Summary

Summary: A theorem in probability theory named for Thomas Bayes (1702-1761). In epidemiology, it is used to obtain the probability of disease in a group of people with some characteristic on the basis of the overall rate of that disease and of the likelihoods of that characteristic in healthy and diseased individuals. The most familiar application is in clinical decision analysis where it is used for estimating the probability of a particular diagnosis given the appearance of some symptoms or test result.

Top Publications

  1. pmc A model-based method for identifying species hybrids using multilocus genetic data
    E C Anderson
    Department of Statistics, University of Washington, Seattle, Washington 98195, USA
    Genetics 160:1217-29. 2002
  2. pmc Bayesian estimation of synaptic physiology from the spectral responses of neural masses
    R J Moran
    The School of Electrical, Electronic and Mechanical Engineering, University College Dublin, Dublin, Ireland
    Neuroimage 42:272-84. 2008
  3. pmc Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
    Jukka Corander
    Department of Mathematics, Fänriksgatan 3B, Abo Akademi University, Abo, Finland
    BMC Bioinformatics 9:539. 2008
  4. pmc Bayesian model selection for group studies
    Klaas Enno Stephan
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
    Neuroimage 46:1004-17. 2009
  5. doi PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating
    Nicolas Lartillot
    Departement de Biochimie, Universite de Montreal, Montreal, Quebec, Canada
    Bioinformatics 25:2286-8. 2009
  6. ncbi MrBayes 3: Bayesian phylogenetic inference under mixed models
    Fredrik Ronquist
    Department of Systematic Zoology, Evolutionary Biology Centre, Uppsala University, Norbyv 18D, SE 752 36 Uppsala, Sweden
    Bioinformatics 19:1572-4. 2003
  7. pmc BEAST: Bayesian evolutionary analysis by sampling trees
    Alexei J Drummond
    Bioinformatics Institute, University of Auckland, Auckland, New Zealand
    BMC Evol Biol 7:214. 2007
  8. ncbi Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study
    G Evanno
    Department of Ecology and Evolution, Biology Building, University of Lausanne, CH 1015 Lausanne, Switzerland
    Mol Ecol 14:2611-20. 2005
  9. ncbi MRBAYES: Bayesian inference of phylogenetic trees
    J P Huelsenbeck
    Department of Biology, University of Rochester, Rochester, NY 14627, USA
    Bioinformatics 17:754-5. 2001
  10. pmc Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies
    Daniel Falush
    Department of Molecular Biology, Max Planck Institut für Infektionsbiologie, Schumann Strasse 21 22, 10117 Berlin, Germany
    Genetics 164:1567-87. 2003

Detail Information

Publications264 found, 100 shown here

  1. pmc A model-based method for identifying species hybrids using multilocus genetic data
    E C Anderson
    Department of Statistics, University of Washington, Seattle, Washington 98195, USA
    Genetics 160:1217-29. 2002
    ..We demonstrate the method on allozyme data from two species of hybridizing trout, as well as on two simulated data sets...
  2. pmc Bayesian estimation of synaptic physiology from the spectral responses of neural masses
    R J Moran
    The School of Electrical, Electronic and Mechanical Engineering, University College Dublin, Dublin, Ireland
    Neuroimage 42:272-84. 2008
    ..These inferences were consistent with predictions derived from experimental microdialysis measures of extracellular glutamate levels...
  3. pmc Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
    Jukka Corander
    Department of Mathematics, Fänriksgatan 3B, Abo Akademi University, Abo, Finland
    BMC Bioinformatics 9:539. 2008
    ..However, the complexity of biological problems related to genetic structure analysis keeps increasing such that in many cases the current methods may provide either inappropriate or insufficient solutions...
  4. pmc Bayesian model selection for group studies
    Klaas Enno Stephan
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, UK
    Neuroimage 46:1004-17. 2009
    ..g. comparing different source reconstruction methods for EEG/MEG or selecting among competing computational models of learning and decision-making...
  5. doi PhyloBayes 3: a Bayesian software package for phylogenetic reconstruction and molecular dating
    Nicolas Lartillot
    Departement de Biochimie, Universite de Montreal, Montreal, Quebec, Canada
    Bioinformatics 25:2286-8. 2009
    ..However, there still lacks a common implementation allowing one to freely combine these independent features, so as to test their ability to jointly improve phylogenetic and dating accuracy...
  6. ncbi MrBayes 3: Bayesian phylogenetic inference under mixed models
    Fredrik Ronquist
    Department of Systematic Zoology, Evolutionary Biology Centre, Uppsala University, Norbyv 18D, SE 752 36 Uppsala, Sweden
    Bioinformatics 19:1572-4. 2003
    ..g. morphological, nucleotide, and protein-and to explore a wide variety of structured models mixing partition-unique and shared parameters. The program employs MPI to parallelize Metropolis coupling on Macintosh or UNIX clusters...
  7. pmc BEAST: Bayesian evolutionary analysis by sampling trees
    Alexei J Drummond
    Bioinformatics Institute, University of Auckland, Auckland, New Zealand
    BMC Evol Biol 7:214. 2007
    ..A large number of popular stochastic models of sequence evolution are provided and tree-based models suitable for both within- and between-species sequence data are implemented...
  8. ncbi Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study
    G Evanno
    Department of Ecology and Evolution, Biology Building, University of Lausanne, CH 1015 Lausanne, Switzerland
    Mol Ecol 14:2611-20. 2005
    ..As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample...
  9. ncbi MRBAYES: Bayesian inference of phylogenetic trees
    J P Huelsenbeck
    Department of Biology, University of Rochester, Rochester, NY 14627, USA
    Bioinformatics 17:754-5. 2001
    ..The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo...
  10. pmc Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies
    Daniel Falush
    Department of Molecular Biology, Max Planck Institut für Infektionsbiologie, Schumann Strasse 21 22, 10117 Berlin, Germany
    Genetics 164:1567-87. 2003
    ..The methods are implemented in a program, structure, version 2.0, which is available at http://pritch.bsd.uchicago.edu...
  11. pmc Prediction of total genetic value using genome-wide dense marker maps
    T H Meuwissen
    Research Institute of Animal Science and Health, 8200 AB Lelystad, The Netherlands
    Genetics 157:1819-29. 2001
    ..It was concluded that selection on genetic values predicted from markers could substantially increase the rate of genetic gain in animals and plants, especially if combined with reproductive techniques to shorten the generation interval...
  12. pmc Relaxed phylogenetics and dating with confidence
    Alexei J Drummond
    Department of Zoology, University of Oxford, Oxford, United Kingdom
    PLoS Biol 4:e88. 2006
    ..From these we conclude that our method is phylogenetically more accurate and precise than the traditional unrooted model while adding the ability to infer a timescale to evolution...
  13. ncbi Bayesian coalescent inference of past population dynamics from molecular sequences
    A J Drummond
    Department of Zoology, University of Oxford, Oxford, United Kingdom
    Mol Biol Evol 22:1185-92. 2005
    ....
  14. ncbi Dynamic causal modelling
    K J Friston
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, Queen Square, London WC1N 3BG, UK
    Neuroimage 19:1273-302. 2003
    ..psychophysiologic interactions). However, unlike previous approaches in neuroimaging, the causal model ascribes responses to designed deterministic inputs, as opposed to treating inputs as unknown and stochastic...
  15. pmc Bayesian inference of species trees from multilocus data
    Joseph Heled
    Department of Computer Science, University of Auckland, New Zealand
    Mol Biol Evol 27:570-80. 2010
    ..We demonstrate that both BEST and our method have much better estimation accuracy for species tree topology than concatenation, and our method outperforms BEST in divergence time and population size estimation...
  16. pmc Bayesian phylogeography finds its roots
    Philippe Lemey
    Department of Microbiology and Immunology, Katholieke Universiteit Leuven, Leuven, Belgium
    PLoS Comput Biol 5:e1000520. 2009
    ..From these analyses, we conclude that our phylogeographic framework will make an important asset in molecular epidemiology that can be easily generalized to infer biogeogeography from genetic data for many organisms...
  17. ncbi AWTY (are we there yet?): a system for graphical exploration of MCMC convergence in Bayesian phylogenetics
    Johan A A Nylander
    School of Computational Sciences, Florida State University, Tallahassee, Florida 32306, USA
    Bioinformatics 24:581-3. 2008
    ..Importantly, the common practice of using trace-plots of a single parameter or summary statistic, such as the likelihood score of sampled trees, can be misleading for assessing the success of a phylogenetic MCMC simulation...
  18. ncbi Combination of direct and indirect evidence in mixed treatment comparisons
    G Lu
    MRC HSRC, Department of Social Medicine, University of Bristol, Canynge Hall, White Ladies Road, Bristol BS8 2PR, U K
    Stat Med 23:3105-24. 2004
    ..We discuss model critique and model selection, illustrating the role of Bayesian deviance analysis, and node-based model criticism. The assumptions underlying the MTC models and their parameterization are also discussed...
  19. pmc A genome-scan method to identify selected loci appropriate for both dominant and codominant markers: a Bayesian perspective
    Matthieu Foll
    Laboratoire d Ecologie Alpine, 38041 Grenoble Cedex 09, France
    Genetics 180:977-93. 2008
    ..The method has been implemented in a new software available at our website (http://www-leca.ujf-grenoble.fr/logiciels.htm)...
  20. pmc Approximate Bayesian computation in population genetics
    Mark A Beaumont
    School of Animal and Microbial Sciences, The University of Reading, Whiteknights, Reading RG6 6AJ, United Kingdom
    Genetics 162:2025-35. 2002
    ..We also compare the relative efficiency of inferences obtained using methods based on summary statistics with those obtained directly from the data using MCMC...
  21. ncbi Learning the value of information in an uncertain world
    Timothy E J Behrens
    FMRIB Centre, University of Oxford, John Radcliffe Hospital, Oxford OX3 9DU, UK
    Nat Neurosci 10:1214-21. 2007
    ..Furthermore, variations in this ACC signal across the population predict variations in subject learning rates. Our results provide a formal account of how we weigh our different experiences in guiding our future actions...
  22. pmc A comparison of bayesian methods for haplotype reconstruction from population genotype data
    Matthew Stephens
    Department of Statistics, University of Washington, Seattle, WA 98195 4322, USA
    Am J Hum Genet 73:1162-9. 2003
    ..The new algorithm is included in the software package PHASE, version 2.0, available online (http://www.stat.washington.edu/stephens/software.html)...
  23. ncbi A Bayesian mixture model for across-site heterogeneities in the amino-acid replacement process
    Nicolas Lartillot
    Canadian Institute for Advanced Research, Departement de Biochimie, Universite de Montreal, Montreal, Quebec Canada
    Mol Biol Evol 21:1095-109. 2004
    ....
  24. ncbi Bayesian integration in sensorimotor learning
    Konrad P Kording
    Sobell Department of Motor Neuroscience, Institute of Neurology, University College London, Queen Square, London WC1N 3BG, UK
    Nature 427:244-7. 2004
    ..The central nervous system therefore employs probabilistic models during sensorimotor learning...
  25. ncbi Uncertainty, neuromodulation, and attention
    Angela J Yu
    Gatsby Computational Neuroscience Unit, London, United Kingdom
    Neuron 46:681-92. 2005
    ..Moreover, the model suggests a class of attentional cueing tasks that involve both neuromodulators and shows how their interactions may be part-antagonistic, part-synergistic...
  26. pmc The genetic structure and history of Africans and African Americans
    Sarah A Tishkoff
    Department of Biology, University of Maryland, College Park, MD 20742, USA
    Science 324:1035-44. 2009
    ..This study helps tease apart the complex evolutionary history of Africans and African Americans, aiding both anthropological and genetic epidemiologic studies...
  27. ncbi The BUGS project: Evolution, critique and future directions
    David Lunn
    Medical Research Council Biostatistics Unit, Institute of Public Health, University Forvie Site, Robinson Way, Cambridge CB2 0SR, U K
    Stat Med 28:3049-67. 2009
    ..We also present a historical overview of the BUGS project and some future perspectives...
  28. ncbi Bayes empirical bayes inference of amino acid sites under positive selection
    Ziheng Yang
    Department of Biology, University College London, London, UK
    Mol Biol Evol 22:1107-18. 2005
    ..The results suggest that in small data sets the new BEB method does not generate false positives as did the old NEB approach, while in large data sets it retains the good power of the NEB approach for inferring positively selected sites...
  29. pmc baySeq: empirical Bayesian methods for identifying differential expression in sequence count data
    Thomas J Hardcastle
    Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge, UK
    BMC Bioinformatics 11:422. 2010
    ..One key way of analysing such data is to look for elements of the data which display particular patterns of differential expression in order to take these forward for further analysis and validation...
  30. pmc Extension of the bayesian alphabet for genomic selection
    David Habier
    Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University, Ames, IA 50011, USA
    BMC Bioinformatics 12:186. 2011
    ..The methods were compared in terms of inference of the number of QTL and accuracy of genomic estimated breeding values (GEBVs), using simulated scenarios and real data from North American Holstein bulls...
  31. ncbi Evaluation of an improved branch-site likelihood method for detecting positive selection at the molecular level
    Jianzhi Zhang
    Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, USA
    Mol Biol Evol 22:2472-9. 2005
    ..Bayes empirical Bayes identification of amino acid sites under positive selection along the foreground branches was found to be reliable, but lacked power...
  32. ncbi The Bayesian brain: the role of uncertainty in neural coding and computation
    David C Knill
    Center for Visual Science and the Department of Brain and Cognitive Science, University of Rochester, NY 14627, USA
    Trends Neurosci 27:712-9. 2004
    ..Neurophysiological data on the hypothesis, however, is almost non-existent. A major challenge for neuroscientists is to test these ideas experimentally, and so determine whether and how neurons code information about sensory uncertainty...
  33. pmc Beyond missing heritability: prediction of complex traits
    Robert Makowsky
    Department of Biostatistics, University of Alabama at Birmingham, Alabama, United States of America
    PLoS Genet 7:e1002051. 2011
    ..While such R(2) values vastly exceed what has been previously reported using a reduced number of pre-selected markers (<0.10), given the heritability of the trait (∼ 0.80), substantial room for improvement remains...
  34. ncbi Adjusting batch effects in microarray expression data using empirical Bayes methods
    W Evan Johnson
    Department of Biostatistics and Computational Biology, Dana Farber Cancer Institute, Boston, MA, USA
    Biostatistics 8:118-27. 2007
    ..We illustrate our methods using two example data sets and show that our methods are justifiable, easy to apply, and useful in practice. Software for our method is freely available at: http://biosun1.harvard.edu/complab/batch/...
  35. doi A phylogenomic approach to resolve the arthropod tree of life
    Karen Meusemann
    Zoologisches Forschungsmuseum Alexander Koenig, Molecular Biology Unit, Bonn, Germany
    Mol Biol Evol 27:2451-64. 2010
    ..However, our analyses also showed for few deep splits that were recently thought to be resolved, for example, the position of myriapods, a remarkable sensitivity to methods of analyses...
  36. ncbi Bayesian phylogenetic analysis of combined data
    Johan A A Nylander
    Department of Systematic Zoology, Evolutionary Biology Centre, Uppsala University, Norbyvagen 18 D, SE 752 36 Uppsala, Sweden
    Syst Biol 53:47-67. 2004
    ..Thus, Bayes factors appear to be useful for selecting among complex models, but it is still unclear whether their use strikes a reasonable balance between model complexity and error in parameter estimates...
  37. ncbi Identifying adaptive genetic divergence among populations from genome scans
    Mark A Beaumont
    School of Animal and Microbial Sciences, The University of Reading, Whiteknights, PO Box 228, Reading RG6 6AJ, UK
    Mol Ecol 13:969-80. 2004
    ..Neither method could reliably distinguish loci under balancing selection in our simulations, even when the selection coefficient is twenty times the migration rate...
  38. pmc Predicting quantitative traits with regression models for dense molecular markers and pedigree
    Gustavo de Los Campos
    Department of Animal Sciences, University of Wisconsin, Madison, Wisconsin 53706, USA
    Genetics 182:375-85. 2009
    ..Results indicate that inclusion of markers in the regression further improved the predictive ability of models. An R program that implements the proposed model is freely available...
  39. ncbi Bayesian estimation of ancestral character states on phylogenies
    Mark Pagel
    School of Animal and Microbial Sciences, University of Reading, Whiteknights, Reading, England
    Syst Biol 53:673-84. 2004
    ..We illustrate the methods with data on ribonuclease evolution in the Artiodactyla. Software implementing the methods (BayesMultiState) is available from the authors...
  40. ncbi Bayesian inference of phylogeny and its impact on evolutionary biology
    J P Huelsenbeck
    Department of Biology, University of Rochester, Rochester, NY 14627, USA
    Science 294:2310-4. 2001
    ....
  41. pmc Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers
    Jose Crossa
    School of Land Crop and Food Sciences, University of Queensland, 4072, Sta Lucia, Queensland, Australia
    Genetics 186:713-24. 2010
    ..These results indicate that GS in plant breeding can be an effective strategy for selecting among lines whose phenotypes have yet to be observed...
  42. pmc Comparing families of dynamic causal models
    Will D Penny
    Wellcome Trust Centre for Neuroimaging, University College, London, United Kingdom
    PLoS Comput Biol 6:e1000709. 2010
    ..We illustrate the methods using Dynamic Causal Models of brain imaging data...
  43. ncbi Genetic variation increases during biological invasion by a Cuban lizard
    Jason J Kolbe
    Department of Biology, Campus Box 1137, Washington University, Saint Louis, Missouri 63130 4899, USA
    Nature 431:177-81. 2004
    ..If these costs are to be mitigated, a greater understanding of the causes, progression and consequences of biological invasions is needed...
  44. ncbi Comparing dynamic causal models
    W D Penny
    Wellcome Department of Imaging Neuroscience, University College London, London, UK
    Neuroimage 22:1157-72. 2004
    ..The combined use of Bayes factors and DCM thus allows one to evaluate competing scientific theories about the architecture of large-scale neural networks and the neuronal interactions that mediate perception and cognition...
  45. pmc Ten simple rules for dynamic causal modeling
    K E Stephan
    Laboratory for Social and Neural Systems Research, Institute for Empirical Research in Economics, University of Zurich, Zurich, Switzerland
    Neuroimage 49:3099-109. 2010
    ..By providing good practice recommendations for DCM, in the form of ten simple rules, we hope that this article serves as a helpful tutorial for the growing community of DCM users...
  46. pmc Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies
    Clive J Hoggart
    Department of Epidemiology and Public Health, Imperial College, London, United Kingdom
    PLoS Genet 4:e1000130. 2008
    ....
  47. pmc Source partitioning using stable isotopes: coping with too much variation
    Andrew C Parnell
    School of Mathematical Sciences, University College Dublin, Dublin, Ireland
    PLoS ONE 5:e9672. 2010
    ..Key to much of this work is the use of mixing models to estimate the proportion of sources contributing to a mixture such as in diet estimation...
  48. ncbi Parallel Metropolis coupled Markov chain Monte Carlo for Bayesian phylogenetic inference
    Gautam Altekar
    Department of Computer Science, University of Rochester, USA
    Bioinformatics 20:407-15. 2004
    ..Metropolis coupled MCMC [(MC)(3)], a variant of MCMC, allows multiple peaks in the landscape of trees to be more readily explored, but at the cost of increased execution time...
  49. pmc Effective connectivity: influence, causality and biophysical modeling
    Pedro A Valdes-Sosa
    Cuban Neuroscience Center, Ave 25 15202 esquina 158, Cubanacan, Playa, Cuba
    Neuroimage 58:339-61. 2011
    ..We show that some of the challenges faced in this field have promising solutions and speculate on future developments...
  50. pmc Inferring population history with DIY ABC: a user-friendly approach to approximate Bayesian computation
    Jean Marie Cornuet
    Department of Epidemiology and Public Health, Imperial College, St Mary s Campus, Norfolk Place, London W2 1PG, UK
    Bioinformatics 24:2713-9. 2008
    ..This article describes key methods used in the program and provides its main features. The analysis of one simulated and one real dataset, both with complex evolutionary scenarios, illustrates the main possibilities of DIY ABC...
  51. ncbi Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests
    David Posada
    Departamento de Bioquimica, Genética e Inmunología, Facultad de Biologia, Universidad de Vigo, Vigo 36200, Spain
    Syst Biol 53:793-808. 2004
    ..To illustrate some of these points, we have applied AIC-based model averaging to 37 mitochondrial DNA sequences from the subgenus Ohomopterus(genus Carabus) ground beetles described by Sota and Vogler (2001)...
  52. pmc Bayesian inference of recent migration rates using multilocus genotypes
    Gregory A Wilson
    Department of Medical Genetics, University of Alberta, Edmonton, Alberta T6G 2H7, Canada
    Genetics 163:1177-91. 2003
    ....
  53. doi Checking consistency in mixed treatment comparison meta-analysis
    S Dias
    Academic Unit of Primary Care, Department of Community Based Medicine, University of Bristol, Cotham House, Cotham Hill, Bristol BS6 6JL, U K
    Stat Med 29:932-44. 2010
    ..We end with some considerations on the modelling assumptions being made, the problems with the extension of the back-calculation method to trial-level data and discuss our methods in the context of the existing literature...
  54. pmc Bayesian species delimitation using multilocus sequence data
    Ziheng Yang
    Center for Computational and Evolutionary Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
    Proc Natl Acad Sci U S A 107:9264-9. 2010
    ..The statistical performance of the method is examined using simulations, and the method is illustrated by analyzing sequence data from rotifers, fence lizards, and human populations...
  55. ncbi Worldwide phylogeography of wild boar reveals multiple centers of pig domestication
    Greger Larson
    Henry Wellcome Ancient Biomolecules Centre, University of Oxford, Department of Zoology, South Parks Road OX1 3PS, UK
    Science 307:1618-21. 2005
    ..In contrast, new genetic data reveal multiple centers of domestication across Eurasia and that European, rather than Near Eastern, wild boar are the principal source of modern European domestic pigs...
  56. pmc Accurate prediction of genetic values for complex traits by whole-genome resequencing
    Theo Meuwissen
    Norwegian University of Life Sciences, 1430 As, Norway
    Genetics 185:623-31. 2010
    ..On the basis of theoretical work, the results could be extended to more realistic genome and population sizes...
  57. pmc Different models of genetic variation and their effect on genomic evaluation
    Samuel A Clark
    School of Environmental and Rural Science, University of New England, Armidale, NSW 2351, Australia
    Genet Sel Evol 43:18. 2011
    ..Therefore, a better understanding of what genomic selection actually predicts is relevant so that appropriate methods of analysis are used in genomic evaluations...
  58. ncbi Multilevel linear modelling for FMRI group analysis using Bayesian inference
    Mark W Woolrich
    Oxford Centre for Functional Magnetic Resonance Imaging of the Brain, John Radcliffe Hospital, University of Oxford, Oxford OX3 9DU, UK
    Neuroimage 21:1732-47. 2004
    ..We also demonstrate that we can infer on the top level of multilevel hierarchies by inferring on the levels of the hierarchy separately and passing summary statistics of a noncentral multivariate t distribution between them...
  59. ncbi Vision as Bayesian inference: analysis by synthesis?
    Alan Yuille
    Department of Statistics, UCLA, San Francisco, CA 94115, USA
    Trends Cogn Sci 10:301-8. 2006
    ..We examine these strategies using recent examples from computer vision, and outline some important implications for cognitive science...
  60. ncbi Bayesian estimation of concordance among gene trees
    Cecile Ane
    Department of Statistics, University of Wisconsin, USA
    Mol Biol Evol 24:412-26. 2007
    ..We demonstrate the method on a set of 106 genes from 8 yeast species...
  61. ncbi Classical and Bayesian inference in neuroimaging: applications
    K J Friston
    The Wellcome Department of Cognitive Neurology and The Institute of Cognitive Neuroscience, University College London, Queen Square, London, WC1N 3BG, United Kingdom
    Neuroimage 16:484-512. 2002
    ..We conclude with some general comments on Bayesian approaches to image analysis and on some unresolved issues...
  62. doi Arthropod relationships revealed by phylogenomic analysis of nuclear protein-coding sequences
    Jerome C Regier
    Center for Biosystems Research, University of Maryland Biotechnology Institute, College Park, Maryland 20742, USA
    Nature 463:1079-83. 2010
    ..These results provide a statistically well-supported phylogenetic framework for the largest animal phylum and represent a step towards ending the often-heated, century-long debate on arthropod relationships...
  63. pmc The impact of genetic architecture on genome-wide evaluation methods
    Hans D Daetwyler
    The Roslin Institute and Royal Dick School of Veterinary Studies, The University of Edinburgh, Roslin EH25 9PS, United Kingdom
    Genetics 185:1021-31. 2010
    ..We conclude that the relative accuracy of GBLUP and BayesB for a given number of records and heritability are highly dependent on M(e,) which is a property of the target genome, as well as the architecture of the trait (N(QTL))...
  64. ncbi Estimating population structure in diploids with multilocus dominant DNA markers
    L A Zhivotovsky
    N I Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow, Russia
    Mol Ecol 8:907-13. 1999
    ..The influence of a prior distribution and departure from Hardy-Weinberg proportions on the estimates is also considered...
  65. ncbi Variational free energy and the Laplace approximation
    Karl Friston
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, UCL, 12 Queen Square, London, WC1N 3BG, UK
    Neuroimage 34:220-34. 2007
    ..Finally, we also consider, briefly, dynamic models and how these inform the regularisation of free energy ascent schemes, like EM and ReML...
  66. ncbi Comparison of Bayesian and maximum-likelihood inference of population genetic parameters
    Peter Beerli
    School of Computational Science and Department of Biological Sciences, Florida State University, Tallahassee, FL 32306 4120, USA
    Bioinformatics 22:341-5. 2006
    ..Using simulated datasets, the Bayesian method generally fares better than the ML approach in accuracy and coverage, although for some values the two approaches are equal in performance...
  67. pmc Smooth skyride through a rough skyline: Bayesian coalescent-based inference of population dynamics
    Vladimir N Minin
    Department of Statistics, University of Washington, USA
    Mol Biol Evol 25:1459-71. 2008
    ..Next, we estimate the demographic histories of human influenza A hemagglutinin sequences, serially sampled throughout 3 flu seasons...
  68. pdf Action and behavior: a free-energy formulation
    Karl J Friston
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, 12 Queen Square, London, WC1N 3BG, UK
    Biol Cybern 102:227-60. 2010
    ..In short, the free-energy formulation may provide an alternative perspective on the motor control that places it in an intimate relationship with perception...
  69. ncbi Bayesian selection of continuous-time Markov chain evolutionary models
    M A Suchard
    Department of Biomathematics, UCLA School of Medicine, Los Angeles, CA 90095-7088, USA
    Mol Biol Evol 18:1001-13. 2001
    ....
  70. doi Bayesian statistical methods for genetic association studies
    Matthew Stephens
    Departments of Statistics and Human Genetics, University of Chicago, Chicago, IL 60637, USA
    Nat Rev Genet 10:681-90. 2009
    ..We demonstrate the use of Bayesian methods for fine mapping in candidate regions, discuss meta-analyses and provide guidance for refereeing manuscripts that contain Bayesian analyses...
  71. doi Hyper-recombination, diversity, and antibiotic resistance in pneumococcus
    William Paul Hanage
    Department of Infectious Disease Epidemiology, Imperial College London, Norfolk Place, London W2 1PG, UK
    Science 324:1454-7. 2009
    ..This could have consequences for the reemergence of drug resistance after pneumococcal vaccination and also for our understanding of diversification and speciation in recombinogenic bacteria...
  72. doi The accuracy of species tree estimation under simulation: a comparison of methods
    Adam D Leaché
    Genome Center and Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
    Syst Biol 60:126-37. 2011
    ..In general, the correlation between the phylogenetic accuracy and the posterior probability values obtained from BEST is high, although posterior probabilities are overestimated when the prior distribution for is misspecified...
  73. ncbi Bayesian inference of epistatic interactions in case-control studies
    Yu Zhang
    Department of Statistics, The Pennsylvania State University, Thomas Building 422A, University Park, Pennsylvania 16802, USA
    Nat Genet 39:1167-73. 2007
    ....
  74. pmc Additive genetic variability and the Bayesian alphabet
    Daniel Gianola
    Department of Animal Sciences, University of Wisconsin, Madison, Wisconsin 53706, USA
    Genetics 183:347-63. 2009
    ..Methods that can solve potential shortcomings of some of these Bayesian regression procedures are discussed briefly...
  75. pmc Defining the true sensitivity of culture for the diagnosis of melioidosis using Bayesian latent class models
    Direk Limmathurotsakul
    Department of Tropical Hygiene, Mahidol University, Bangkok, Thailand
    PLoS ONE 5:e12485. 2010
    ....
  76. pmc Phylogeography takes a relaxed random walk in continuous space and time
    Philippe Lemey
    Department of Microbiology and Immunology, Katholieke Universiteit Leuven, Leuven, Belgium
    Mol Biol Evol 27:1877-85. 2010
    ....
  77. pmc Bayes estimation of species divergence times and ancestral population sizes using DNA sequences from multiple loci
    Bruce Rannala
    Department of Medical Genetics, University of Alberta, Edmonton, Alberta T6G 2H7, Canada
    Genetics 164:1645-56. 2003
    ..Our estimates, however, are affected by model assumptions as well as data quality. We suggest that reliable estimates have yet to await more data and more realistic models...
  78. pmc Improving marginal likelihood estimation for Bayesian phylogenetic model selection
    Wangang Xie
    Abbott, 100 Abbott Park, R436 AP9A 2, Abbott Park, IL 60064, USA
    Syst Biol 60:150-60. 2011
    ..We conclude that the greatly increased accuracy of the SS and TI methods argues for their use instead of the HM method, despite the extra computation needed...
  79. ncbi Object perception as Bayesian inference
    Daniel Kersten
    Department of Psychology, University of Minnesota, Minneapolis, Minnesota 55455, USA
    Annu Rev Psychol 55:271-304. 2004
    ..Recent work in Bayesian theories of visual perception has shown how complexity may be managed and ambiguity resolved through the task-dependent, probabilistic integration of prior object knowledge with image features...
  80. ncbi Multiple sparse priors for the M/EEG inverse problem
    Karl Friston
    The Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London, WC1N 3BG, UK
    Neuroimage 39:1104-20. 2008
    ..This means the approach automatically selects either a sparse or a distributed model, depending on the data. The scheme is compared with conventional applications of Bayesian solutions to quantify the improvement in performance...
  81. ncbi LAMARC 2.0: maximum likelihood and Bayesian estimation of population parameters
    Mary K Kuhner
    Department of Genome Sciences Box 357730 University of Washington Seattle, 98195 7730, USA
    Bioinformatics 22:768-70. 2006
    ..It is available as portable source code and executables for all three major platforms...
  82. ncbi Species trees from gene trees: reconstructing Bayesian posterior distributions of a species phylogeny using estimated gene tree distributions
    Liang Liu
    Department of Statistics, The Ohio State University, Columbus, OH 43210 1293, USA
    Syst Biol 56:504-14. 2007
    ..Future improvements of our model and algorithm should include consideration of other factors that can cause discordance of gene trees and species trees, such as horizontal transfer or gene duplication...
  83. ncbi BEST: Bayesian estimation of species trees under the coalescent model
    Liang Liu
    Musuem of Comparative Zoology, Harvard University, Cambridge, MA, USA
    Bioinformatics 24:2542-3. 2008
    ..The technique of simulated annealing is adopted along with Metropolis coupling as performed in MrBayes to improve the convergence rate of the Markov Chain Monte Carlo algorithm...
  84. pmc Striatal prediction error modulates cortical coupling
    Hanneke E M den Ouden
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, London, United Kingdom
    J Neurosci 30:3210-9. 2010
    ..This finding substantially advances our understanding of striatal function and provides direct empirical evidence for formal learning theories that posit a central role for prediction error-dependent plasticity...
  85. pmc Geographical patterns and predictors of malaria risk in Zambia: Bayesian geostatistical modelling of the 2006 Zambia national malaria indicator survey (ZMIS)
    Nadine Riedel
    Department of Public Health and Epidemiology, Swiss Tropical Institute, PO Box, 4002 Basel, Switzerland
    Malar J 9:37. 2010
    ....
  86. pmc The HIV-1 subtype C epidemic in South America is linked to the United Kingdom
    Tulio de Oliveira
    Africa Centre for Health and Population Studies, Nelson R Mandela School of Medicine, University of KwaZulu Natal, Durban, South Africa
    PLoS ONE 5:e9311. 2010
    ..However, the external route via which subtype C viruses spread to the South American continent has remained unclear...
  87. pmc Radiation of extant cetaceans driven by restructuring of the oceans
    Mette E Steeman
    Centre for GeoGenetics, Natural History Museum of Denmark, 2100 Copenhagen, Denmark
    Syst Biol 58:573-85. 2009
    ..The results imply that paleogeographic and paleoceanographic changes, such as closure of major seaways, have influenced the dynamics of radiation in extant cetaceans...
  88. pmc Bayesian inference of population size history from multiple loci
    Joseph Heled
    Department of Computer Science, University of Auckland, Auckland, New Zealand
    BMC Evol Biol 8:289. 2008
    ..Here we present the Extended Bayesian Skyline Plot, a non-parametric Bayesian Markov chain Monte Carlo algorithm that extends a previous coalescent-based method in several ways, including the ability to analyze multiple loci...
  89. ncbi A free energy principle for the brain
    Karl Friston
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, University College London, 12 Queen Square, London WC1N 3B, United Kingdom
    J Physiol Paris 100:70-87. 2006
    ..We will look at the models entailed by the brain and how minimisation of its free energy can explain its dynamics and structure...
  90. doi The effect of ambiguous data on phylogenetic estimates obtained by maximum likelihood and Bayesian inference
    Alan R Lemmon
    Section of Integrative Biology, University of Texas at Austin, 1 University Station C0930, Austin, TX 78712, USA
    Syst Biol 58:130-45. 2009
    ....
  91. pmc Causal inference in multisensory perception
    Konrad P Kording
    Rehabilitation Institute of Chicago, Northwestern University, Chicago, Illinois, USA
    PLoS ONE 2:e943. 2007
    ....
  92. doi Phylogeography's past, present, and future: 10 years after Avise, 2000
    M J Hickerson
    Biology Department, Queens College, City University of New York, Flushing, NY 11367, USA
    Mol Phylogenet Evol 54:291-301. 2010
    ..Subsequently, we discuss ways in which model-based phylogeography can interface with various subfields to become one of the most integrative fields in all of ecology and evolutionary biology...
  93. pmc BayesPeak: Bayesian analysis of ChIP-seq data
    Christiana Spyrou
    Statistical Laboratory, Centre for Mathematical Sciences, Wilberforce Road, Cambridge, UK
    BMC Bioinformatics 10:299. 2009
    ..Chromatin immunoprecipitation, followed by sequencing of the resulting samples, produces large amounts of data that can be used to map genomic features such as transcription factor binding sites and histone modifications...
  94. ncbi Approximate Bayesian Computation (ABC) in practice
    Katalin Csilléry
    Laboratoire Techniques de l Ingénierie Médicale et de la Complexité, Centre National de la Recherche Scientifique UMR5525, Universite Joseph Fourier, 38706 La Tronche, France
    Trends Ecol Evol 25:410-8. 2010
    ..ABC can be a powerful tool to make inferences with complex models if these principles are carefully applied...
  95. ncbi Estimation of individual admixture: analytical and study design considerations
    Hua Tang
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
    Genet Epidemiol 28:289-301. 2005
    ..g., simulations) not possible by Bayesian methods. Our simulation results demonstrate that inclusion of ancestral populations or their surrogates in the analysis is required by any method of IA estimation to obtain reasonable results...
  96. pmc Global networks of functional coupling in eukaryotes from comprehensive data integration
    Andrey Alexeyenko
    Stockholm Bioinformatics Center, AlbaNova, Stockholm University, 10691 Stockholm, Sweden
    Genome Res 19:1107-16. 2009
    ..We show how FunCoup can be used for discovering candidate members of the Parkinson and Alzheimer pathways. Cross-species pathway conservation analysis provided further support to these observations...
  97. ncbi Model driven EEG/fMRI fusion of brain oscillations
    Pedro A Valdes-Sosa
    Cuban Neuroscience Center, Havana, Cuba
    Hum Brain Mapp 30:2701-21. 2009
    ..The LL-innovation estimation method has been already applied to small and medium scale models. With improved Bayesian computations the practical estimation of very large scale EEG/fMRI models shall soon be possible...
  98. ncbi Dynamic causal modelling of induced responses
    C C Chen
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, UK
    Neuroimage 41:1293-312. 2008
    ..We then apply our model to EEG data from a face-perception experiment, to ask whether there is evidence for non-linear coupling between early visual cortex and fusiform areas...
  99. ncbi An empirical Bayes method for estimating epistatic effects of quantitative trait loci
    Shizhong Xu
    Department of Botany and Plant Sciences, University of California, Riverside, Riverside, California 92521, USA
    Biometrics 63:513-21. 2007
    ..However, E-BAYES appears to outperform all other methods in terms of minimizing the mean-squared error (MSE) with relatively short computing time. Application of the new method to real data was demonstrated using a barley dataset...
  100. ncbi Bayesian analysis of population structure based on linked molecular information
    Jukka Corander
    Department of Mathematics and Statistics, P O Box 68, University of Helsinki, 00014 Helsinki, Finland
    Math Biosci 205:19-31. 2007
    ..The advantages of incorporating the dependence due to linkage in the classification models are illustrated by analyses of both simulated data and real samples of Bacillus cereus...
  101. doi Language phylogenies reveal expansion pulses and pauses in Pacific settlement
    R D Gray
    Department of Psychology, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand
    Science 323:479-83. 2009
    ....

Research Grants77

  1. Genetic Signatures of Preinvasive Breast Disease
    Carol Rosenberg; Fiscal Year: 2007
    ..unreadable] [unreadable] [unreadable]..
  2. CRCNS: Bayesian Analysis of Neural-Behavioral Interactions in Mental Illness
    Terran Lane; Fiscal Year: 2007
    ..This work will contribute toward improved diagnostics and therapies for schizophrenia, a disease that affects millions of people. ..
  3. Optimized Erythropoietin Treatment of Neonatal Anemai
    Peter Veng Pedersen; Fiscal Year: 2007
    ..abstract_text> ..
  4. REDUCING DRUNK DRIVING WITH TAXES, LAWS, & INFORMATION
    Charles Phelps; Fiscal Year: 1992
    ..The estimated probabilities are converted, using Bayes Theorem and separate estimates of the unconditional probabilities of driving and drinking, into probabilities of ..
  5. REDUCING DRUNK DRIVING WITH TAXES, LAWS, & INFORMATION
    Charles Phelps; Fiscal Year: 1993
    ..The estimated probabilities are converted, using Bayes Theorem and separate estimates of the unconditional probabilities of driving and drinking, into probabilities of ..
  6. REDUCING DRUNK DRIVING WITH TAXES, LAWS, & INFORMATION
    Charles Phelps; Fiscal Year: 1990
    ..The estimated probabilities are converted, using Bayes Theorem and separate estimates of the unconditional probabilities of driving and drinking, into probabilities of ..
  7. Biology of Aerobic Capacity and Insulin Resistance
    Charles F Burant; Fiscal Year: 2010
    ..The information obtained will be used to design more effective diet, exercise or drug therapy that will prevent the illnesses associated with obesity. ..
  8. Biology of Aerobic Capacity and Insulin Resistance
    Charles Burant; Fiscal Year: 2009
    ..The information obtained will be used to design more effective diet, exercise or drug therapy that will prevent the illnesses associated with obesity. ..
  9. Support for the Fourth International Joint IMS-ISBA Conference
    Montserrat Fuentes; Fiscal Year: 2010
    ....
  10. Improving Lyme disease diagnosis through bioinformatics
    Richard Porwancher; Fiscal Year: 2006
    ..This bioinformatic approach has the potential for integrating clinical and serologic diagnostic approaches using a standardized serum bank. [unreadable] [unreadable] [unreadable]..
  11. Polygenic Linkage Disequilibrium and Linkage Mapping
    Ina Hoeschele; Fiscal Year: 2004
    ..These methods will be compared with simulated data, representing different population structures, histories and genetic marker types, and with real data. ..
  12. Polygenic Linkage Disequilibrium and Linkage Mapping
    Ina Hoeschele; Fiscal Year: 2003
    ..These methods will be compared with simulated data, representing different population structures, histories and genetic marker types, and with real data. ..
  13. Polygenic Linkage Disequilibrium and Linkage Mapping
    Ina Hoeschele; Fiscal Year: 2002
    ..These methods will be compared with simulated data, representing different population structures, histories and genetic marker types, and with real data. ..
  14. Timeliness of Symptom Recognition, Interpretation, and Reporting in Heart Failure
    KATHERINE MARIE REEDER; Fiscal Year: 2010
    ..Understanding patient methods can help health care providers to identify ways improve heart failure status and reduce untimely, repeated heart failure hospitalizations. ..
  15. Multiple Autoantigens/Multiple Epitopes of Type 1DM
    George Eisenbarth; Fiscal Year: 2002
    ..Pancreas from such individuals would allow histologic analysis, studies of disease pathogenesis (e.g. TCR usage and virology), and we believe most importantly T cell cloning from diseased islets. ..
  16. Multiple Autoantigens/Multiple Epitopes of Type 1DM
    George Eisenbarth; Fiscal Year: 2004
    ..Pancreas from such individuals would allow histologic analysis, studies of disease pathogenesis (e.g. TCR usage and virology), and we believe most importantly T cell cloning from diseased islets. ..
  17. Multiple Autoantigens/Multiple Epitopes of Type 1DM
    George Eisenbarth; Fiscal Year: 2003
    ..Pancreas from such individuals would allow histologic analysis, studies of disease pathogenesis (e.g. TCR usage and virology), and we believe most importantly T cell cloning from diseased islets. ..
  18. Multiple Autoantigens/Multiple Epitopes of Type 1DM
    George Eisenbarth; Fiscal Year: 2001
    ..Pancreas from such individuals would allow histologic analysis, studies of disease pathogenesis (e.g. TCR usage and virology), and we believe most importantly T cell cloning from diseased islets. ..
  19. UCLA Pharmacogenetics and Pharmacogenomics Research Grp*
    Julio Licinio; Fiscal Year: 2003
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  20. UCLA Pharmacogenetics and Pharmacogenomics Research Grp*
    Julio Licinio; Fiscal Year: 2005
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  21. UCLA Pharmacogenetics and Pharmacogenomics Research Grp*
    Julio Licinio; Fiscal Year: 2002
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  22. UCLA Pharmacogenetics and Pharmacogenomics Research Grp*
    Julio Licinio; Fiscal Year: 2003
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  23. UCLA Pharmacogenetics and Pharmacogenomics Research Grp*
    Julio Licinio; Fiscal Year: 2001
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  24. UCLA Pharmacogenetics and Pharmacogenomics Research
    Julio Licinio; Fiscal Year: 2001
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  25. UCLA Pharmacogenetics and Pharmacogenomics Research Grp*
    Julio Licinio; Fiscal Year: 2005
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  26. UCLA Pharmacogenetics and Pharmacogenomics Research Grp*
    Julio Licinio; Fiscal Year: 2005
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  27. UCLA Pharmacogenetics and Pharmacogenomics Research Grp*
    Julio Licinio; Fiscal Year: 2002
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  28. UCLA Pharmacogenetics and Pharmacogenomics Research Grp*
    Julio Licinio; Fiscal Year: 2004
    ..Our data will be deposited in PharmacoGKB, GenBank, and dbSNP. Additionally, our clinical responses data and DNA samples will be deposited in the UCLA DNA Bank that is accessible to other investigators. ..
  29. Extending Bayesian Phylogenetic Analysis
    John Huelsenbeck; Fiscal Year: 2004
    ..Finally, new methods for predicting RNA secondary structure will be developed. The method will combine information from comparative sequence analysis and the Gibb's free energy. ..
  30. Extending Bayesian Phylogenetic Analysis
    John Huelsenbeck; Fiscal Year: 2005
    ..Finally, new methods for predicting RNA secondary structure will be developed. The method will combine information from comparative sequence analysis and the Gibb's free energy. ..
  31. MCMSki II: Markov Chain Monte Carlo in Theory and Practice
    Bradley Carlin; Fiscal Year: 2007
    ..unreadable] [unreadable] [unreadable]..
  32. STATISTICAL METHODS FOR COMPLEX CANCER TRIALS
    Peter Thall; Fiscal Year: 2009
    ....
  33. STATISTICAL METHODS FOR COMPLEX CANCER TRIALS
    Peter F Thall; Fiscal Year: 2010
    ....
  34. Impacts of Individual and Social Behavior on Influenza Dynamics and Control
    Alison Galvani; Fiscal Year: 2009
    ....
  35. Impacts of Individual and Social Behavior on Influenza Dynamics and Control
    Lauren Ancel Meyers; Fiscal Year: 2010
    ....
  36. Impacts of Individual and Social Behavior on Influenza Dynamics and Control
    Alison Galvani; Fiscal Year: 2009
    ....
  37. Weighted genome-wide association study of amphetamine sensitivity in humans
    Abraham A Palmer; Fiscal Year: 2010
    ..We hope that by identifying genes that influence drug liking we can predict risk of drug abuse and better understand the biological nature of drug abuse in susceptible and resistant people. ..
  38. Extending Bayesian Phylogenetic Analysis
    John Huelsenbeck; Fiscal Year: 2007
    ..Finally, new methods for predicting RNA secondary structure will be developed. The method will combine information from comparative sequence analysis and the Gibb's free energy. ..
  39. Weighted genome-wide association study of amphetamine sensitivity in humans
    ABRAHAM PALMER; Fiscal Year: 2009
    ..We hope that by identifying genes that influence drug liking we can predict risk of drug abuse and better understand the biological nature of drug abuse in susceptible and resistant people. ..
  40. Extending Bayesian Phylogenetic Analysis
    John Huelsenbeck; Fiscal Year: 2006
    ..Finally, new methods for predicting RNA secondary structure will be developed. The method will combine information from comparative sequence analysis and the Gibb's free energy. ..
  41. Extending Bayesian Phylogenetic Analysis
    John Huelsenbeck; Fiscal Year: 2004
    ..Finally, new methods for modeling genomic changes, such as gene duplications, deletions, inversions, and lateral gene transfer, will be developed. ..
  42. The Past, Present, and Future of Gibbs Sampling
    Bradley Carlin; Fiscal Year: 2004
    ..Detailed qualifications of the organizing committee, plenary speakers, and a full tentative invited program are provided. ..
  43. Bayesian Methods and Experimental Design for Molecular Biology Experiments
    Stella Karuri; Fiscal Year: 2007
    ..The results of the proposed work will expedite discoveries in basic science, early disease detection, and drug discovery and development. [unreadable] [unreadable] [unreadable]..
  44. Genetics, Environment and Weight Gain Posttransplant
    Ann Cashion; Fiscal Year: 2009
    ..This will result in fewer health care problems following transplantation. ..
  45. Genetics, Environment and Weight Gain Posttransplant
    Ann K Cashion; Fiscal Year: 2010
    ..This will result in fewer health care problems following transplantation. ..
  46. DISCRETE BAYESIAN ANALYSIS OF MENTAL HEALTH SERVICES RES
    Robert Gibbons; Fiscal Year: 1999
    ..Our previous grant and competitive renewal have led to the development of the MIXOR and MIXREG computer programs that are widely used by mental health services researchers in analysis of their longitudinal data. ..
  47. Genetics, Environment and Weight Gain Posttransplant
    Ann Cashion; Fiscal Year: 2009
    ..This will result in fewer health care problems following transplantation. ..
  48. Genetics, Environment and Weight Gain Posttransplant
    Ann Cashion; Fiscal Year: 2007
    ..This will result in fewer health care problems following transplantation. ..
  49. CRCNS: Bayesian Analysis of Neural-Behavioral Interactions in Mental Illness
    Terran Lane; Fiscal Year: 2006
    ..This work will contribute toward improved diagnostics and therapies for schizophrenia, a disease that affects millions of people. ..
  50. CRCNS: Bayesian Analysis of Neural-Behavioral Interactions in Mental Illness
    Terran Lane; Fiscal Year: 2005
    ..This work will contribute toward improved diagnostics and therapies for schizophrenia, a disease that affects millions of people. ..
  51. Modeling Complex Pharmacokinetics and Pharmacodynamics
    Davide Verotta; Fiscal Year: 2005
    ..Finally, we will develop a computer program for Bayesian linear and non-linear system analysis, which allows investigators to use the (model independent representations and MCMC-based methods we will investigate. ..
  52. Modeling Complex Pharmacokinetics and Pharmacodynamics
    Davide Verotta; Fiscal Year: 2004
    ..Finally, we will develop a computer program for Bayesian linear and non-linear system analysis, which allows investigators to use the (model independent representations and MCMC-based methods we will investigate. ..
  53. Modeling Complex Pharmacokinetics and Pharmacodynamics
    Davide Verotta; Fiscal Year: 2006
    ..Finally, we will develop a computer program for Bayesian linear and non-linear system analysis, which allows investigators to use the (model independent representations and MCMC-based methods we will investigate. ..
  54. Modeling Complex Pharmacokinetics and Pharmacodynamics
    Davide Verotta; Fiscal Year: 2002
    ..Finally, we will develop a computer program for Bayesian linear and non-linear system analysis, which allows investigators to use the (model independent representations and MCMC-based methods we will investigate. ..
  55. Modeling Complex Pharmacokinetics and Pharmacodynamics
    Davide Verotta; Fiscal Year: 2003
    ..Finally, we will develop a computer program for Bayesian linear and non-linear system analysis, which allows investigators to use the (model independent representations and MCMC-based methods we will investigate. ..
  56. Hierarchical Bayesian Analysis of Complex Sample Survey Data
    Michael Elliott; Fiscal Year: 2009
    ..The work can also improve the efficient use of data currently collected by developing new ways of combining data from multiple surveys. ..
  57. Hierarchical Bayesian Analysis of Complex Sample Survey Data
    Michael R Elliott; Fiscal Year: 2010
    ..The work can also improve the efficient use of data currently collected by developing new ways of combining data from multiple surveys. ..
  58. The 8th Valencie/ISBA World Meeting on Bayesian Statistics
    ALAN GELFAND; Fiscal Year: 2006
    ..Facilitate small-group discussions among senior and junior researchers. Disseminate results of the conference as widely as possible. [unreadable] [unreadable] [unreadable] [unreadable]..
  59. Comparison of Bayesian and Frequentist Methods in Cardiovascular Clinical Trials
    ALICE ROGOT PRESSMAN; Fiscal Year: 2010
    ....
  60. COMPUTER AIDED MEDICAL DIAGNOSIS PROJECT
    DANA LUDWIG; Fiscal Year: 1980
    ..The model will use a causal network representation of medical knowledge. The system will apply Bayes Theorem in an approximate way, to compute probabilities of disease, given patient attributes, in a way that will: a...
  61. ISBA 2010 World Meeting
    Peter Mueller; Fiscal Year: 2010
    ..Integrating protein expression data, pathway information and clinical data is critical to allow patients and clinicians to select the most promising treatment options for specific patients. ..
  62. Metabolomics of the Virus-host Cell Interaction
    Joshua Rabinowitz; Fiscal Year: 2009
    ..Such pathways, once identified, will be attractive new targets for antiviral therapy. ..
  63. Pesticide Dispersion in Texas Watersheds in Child Cancer
    James Thompson; Fiscal Year: 2003
    ..It is anticipated that the results produced will provide the preliminary data needed to continue definitive investigations under the auspices of subsequent R01 funding. ..
  64. Metabolomics of the Virus-host Cell Interaction
    Joshua Rabinowitz; Fiscal Year: 2007
    ..Such pathways, once identified, will be attractive new targets for antiviral therapy. ..
  65. Metabolomics of the Virus-host Cell Interaction
    Joshua D Rabinowitz; Fiscal Year: 2010
    ..Such pathways, once identified, will be attractive new targets for antiviral therapy. ..
  66. The Role of Pesticide Dispersion Within Texas Watershed*
    James Thompson; Fiscal Year: 2004
    ..It is anticipated that the results produced will provide the preliminary data needed to continue definitive investigations under the auspices of subsequent R01 funding. ..
  67. POPULATION PHARMACOKINETICS/DYNAMICS--STATISTICAL ISSUES
    Peter Mueller; Fiscal Year: 1999
    ..They will evaluate potential savings, compared to current limited sampling strategies, via simulation studies under various presumed pharmacokinetic and pharmacodynamic models reported in the literature. ..
  68. POPULATION PHARMACOKINETICS/DYNAMICS--STATISTICAL ISSUES
    Peter Mueller; Fiscal Year: 2000
    ..They will evaluate potential savings, compared to current limited sampling strategies, via simulation studies under various presumed pharmacokinetic and pharmacodynamic models reported in the literature. ..
  69. DRUG ABUSE PREDICTION & PREVENTION IN HIGH RISK FAMILIES
    David Gustafson; Fiscal Year: 1990
    ..drug abuse in high risk young adolescents? In developing a risk assessment tool, a mathematical model based on Bayes Theorem will be developed...
  70. MODELS TO ASSIST CARDIAC DIAGNOSTIC TEST DECISIONS
    ERIC FORTESS; Fiscal Year: 1980
    ..Finally, the project's third objective will be to develop public policy options regarding CRS based upon the previous analyses, and to assess potential implementation strategies. ..
  71. BAYESIAN ANALYSIS FOR GENES WITH PLEIOTROPIC EFFECTS
    Steven Matthysse; Fiscal Year: 2000
    ..3) A conservative approach to Markov chain Monte Carlo, using it primarily in contexts where it is possible to find lower bounds on its rate of convergence. ..
  72. BAYESIAN ANALYSIS FOR GENES WITH PLEIOTROPIC EFFECTS
    Steven Matthysse; Fiscal Year: 2001
    ..3) A conservative approach to Markov chain Monte Carlo, using it primarily in contexts where it is possible to find lower bounds on its rate of convergence. ..
  73. BAYESIAN ANALYSIS FOR GENES WITH PLEIOTROPIC EFFECTS
    Steven Matthysse; Fiscal Year: 1999
    ..3) A conservative approach to Markov chain Monte Carlo, using it primarily in contexts where it is possible to find lower bounds on its rate of convergence. ..
  74. INTEGRATED BAYESIAN ANALYSIS OF MEG AND FMRI
    David Schmidt; Fiscal Year: 2002
    ..The capabilities of this approach will be evaluated with simulated data, empirical MEG data from a head phantom, and empirical fMRI and MEG data from evoked response experiments. ..
  75. INTEGRATED BAYESIAN ANALYSIS OF MEG AND FMRI
    David Schmidt; Fiscal Year: 2001
    ..The capabilities of this approach will be evaluated with simulated data, empirical MEG data from a head phantom, and empirical fMRI and MEG data from evoked response experiments. ..
  76. INTEGRATED BAYESIAN ANALYSIS OF MEG AND FMRI
    David Schmidt; Fiscal Year: 2000
    ..The capabilities of this approach will be evaluated with simulated data, empirical MEG data from a head phantom, and empirical fMRI and MEG data from evoked response experiments. ..