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. ncbi 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. ncbi Accommodating uncertainty in a tree set for function estimation
    Brian C Healy
    Harvard Medical School, USA
    Stat Appl Genet Mol Biol 7:Article5. 2008
  3. ncbi 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
  4. ncbi 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
  5. ncbi 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
  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. ncbi 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 MRBAYES: Bayesian inference of phylogenetic trees
    J P Huelsenbeck
    Department of Biology, University of Rochester, Rochester, NY 14627, USA
    Bioinformatics 17:754-5. 2001
  9. 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
  10. ncbi 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

Publications245 found, 100 shown here

  1. ncbi 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. ncbi Accommodating uncertainty in a tree set for function estimation
    Brian C Healy
    Harvard Medical School, USA
    Stat Appl Genet Mol Biol 7:Article5. 2008
    ..The main results were that patients with a 211K mutation in the RT region of the viral genome were more likely to have a 215Y mutation and less likely to have a 70R mutation compared to patients without a 211K mutation...
  3. ncbi 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...
  4. ncbi 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...
  5. ncbi 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...
  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. ncbi 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 MRBAYES: Bayesian inference of phylogenetic trees
    J P Huelsenbeck
    Department of Biology, University of Rochester, Rochester, NY 14627, USA
    Bioinformatics 17:754-5. 2001
    ..AVAILABILITY: MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms.biology.rochester.edu/software.html...
  9. 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...
  10. ncbi 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. ncbi 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. ncbi 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. ncbi 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. 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
    ....
  17. 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...
  18. 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
    ....
  19. ncbi 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...
  20. 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...
  21. ncbi 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...
  22. 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...
  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 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
    ....
  25. 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...
  26. 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...
  27. 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...
  28. 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/...
  29. 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...
  30. 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
    ..AVAILABILITY: The program is available as source under the GNU General Public License and as a web application at http://ceb.scs.fsu.edu/awty...
  31. 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...
  32. 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
    ..The algorithm has been implemented using two popular parallel programming models: message passing and shared memory. Performance results indicate nearly linear speed improvement in both programming models for small and large data sets...
  33. 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)...
  34. 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...
  35. ncbi 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)...
  36. ncbi 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...
  37. 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...
  38. 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...
  39. ncbi 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...
  40. ncbi 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...
  41. 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...
  42. ncbi 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...
  43. ncbi 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...
  44. ncbi 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
    ....
  45. 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...
  46. 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
    ....
  47. ncbi 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))...
  48. 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...
  49. 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...
  50. 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...
  51. ncbi 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...
  52. 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. AVAILABILITY: LAMARC 2.0 is freely available at http://evolution.gs.washington.edu/lamarc..
  53. 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...
  54. 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...
  55. ncbi 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
    ..AVAILABILITY: The software DIY ABC is freely available at http://www.montpellier.inra.fr/CBGP/diyabc...
  56. 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...
  57. ncbi 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...
  58. ncbi 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...
  59. ncbi 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...
  60. 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. AVAILABILITY: http://www.stat.osu.edu/~dkp/BEST...
  61. ncbi 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...
  62. ncbi 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
    ....
  63. ncbi 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...
  64. ncbi 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...
  65. ncbi 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...
  66. 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...
  67. ncbi 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
    ....
  68. ncbi 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...
  69. 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...
  70. ncbi 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...
  71. ncbi Causal inference in multisensory perception
    Konrad P Kording
    Rehabilitation Institute of Chicago, Northwestern University, Chicago, Illinois, USA
    PLoS ONE 2:e943. 2007
    ....
  72. ncbi 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...
  73. ncbi 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
    ....
  74. 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...
  75. ncbi 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...
  76. ncbi 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...
  77. 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...
  78. 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...
  79. 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...
  80. ncbi Selecting forward models for MEG source-reconstruction using model-evidence
    R N Henson
    MRC Cognition and Brain Sciences Unit, Cambridge, England, UK
    Neuroimage 46:168-76. 2009
    ..These results have practical implications for MEG source reconstruction, particularly in the context of group studies...
  81. ncbi 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
    ....
  82. ncbi 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
    ....
  83. ncbi How green is the grass on the other side? Frontopolar cortex and the evidence in favor of alternative courses of action
    Erie D Boorman
    Centre for Functional MRI of the Brain, University of Oxford, Oxford 0X3 9DU, UK
    Neuron 62:733-43. 2009
    ..Collectively, these findings reveal complementary prefrontal computations essential for promoting short- and long-term behavioral flexibility...
  84. 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...
  85. ncbi Demographic history of european populations of Arabidopsis thaliana
    Olivier Francois
    Institut National Polytechnique de Grenoble, Grenoble, France
    PLoS Genet 4:e1000075. 2008
    ..However, the speed and time frame of the model also suggest that the migration of A. thaliana into Europe may have accompanied the spread of agriculture during the Neolithic transition...
  86. ncbi Bayesian LASSO for quantitative trait loci mapping
    Nengjun Yi
    Department of Biostatistics, University of Alabama, Birmingham, AL 35294 0022, USA
    Genetics 179:1045-55. 2008
    ..Markov chain Monte Carlo (MCMC) algorithms are developed to simulate the parameters from the posteriors. The methods are illustrated using well-known barley data...
  87. ncbi Bayesian inference of the demographic history of chimpanzees
    Daniel Wegmann
    Department of Biology, Computational and Molecular Population Genetics Laboratory, Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
    Mol Biol Evol 27:1425-35. 2010
    ....
  88. ncbi Phylogenetic positions of Glaucophyta, green plants (Archaeplastida) and Haptophyta (Chromalveolata) as deduced from slowly evolving nuclear genes
    Hisayoshi Nozaki
    Department of Biological Sciences, Graduate School of Science, University of Tokyo, Hongo, Bunkyo ku, Tokyo 113 0033, Japan
    Mol Phylogenet Evol 53:872-80. 2009
    ..The close relationship between green plants and Chromalveolata is further supported by the common replacement in two plastid-targeted genes...
  89. ncbi Observing the observer (II): deciding when to decide
    Jean Daunizeau
    Wellcome Trust Centre for Neuroimaging, University College of London, London, United Kingdom
    PLoS ONE 5:e15555. 2010
    ..Finally, we illustrate how our approach can be used to quantify subjective beliefs and preferences that underlie inter-individual differences in behaviour...
  90. ncbi A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis
    Thomas A Down
    Wellcome Trust Cancer Research UK Gurdon Institute, and Department of Genetics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK
    Nat Biotechnol 26:779-85. 2008
    ....
  91. ncbi The misuse of BLUP in ecology and evolution
    Jarrod D Hadfield
    Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom
    Am Nat 175:116-25. 2010
    ..To illustrate the problem, we apply these tests to long-term data on the Soay sheep (Ovis aries) and the great tit (Parus major) and show that previously reported temporal trends in breeding values are not supported...
  92. ncbi On the use of dynamic Bayesian networks in reconstructing functional neuronal networks from spike train ensembles
    Seif Eldawlatly
    Electric and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA
    Neural Comput 22:158-89. 2010
    ..Results demonstrate the utility of DBN in inferring the effective connectivity in cortical networks...
  93. ncbi Preserved feedforward but impaired top-down processes in the vegetative state
    Melanie Boly
    Coma Science Group, Cyclotron Research Centre and Neurology Department, University of Liège and CHU Sart Tilman Hospital, 4000 Liege, Belgium
    Science 332:858-62. 2011
    ..This result emphasizes the importance of top-down projections in recurrent processing that involve high-order associative cortices for conscious perception...
  94. ncbi Platinum agent-induced hypersensitivity reactions: data mining of the public version of the FDA adverse event reporting system, AERS
    Toshiyuki Sakaeda
    Center for Development of Integrative Education in Pharmacy and Pharmaceutical Sciences, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto, Japan
    Int J Med Sci 8:332-8. 2011
    ..Adverse event reports (AERs) submitted to the US Food and Drug Administration (FDA) were reviewed to confirm the platinum agent-associated mild, severe, and lethal hypersensitivity reactions...
  95. ncbi Robustness of coalescent estimators to between-lineage mutation rate variation
    Mary K Kuhner
    Department of Genome Sciences, University of Washington, Seattle, WA, USA
    Mol Biol Evol 23:2355-60. 2006
    ..Both estimators are robust to modest rate variation; however, their use should be coupled with a statistical test to rule out extreme rate variation as the resulting CIs may not be reliable...
  96. ncbi Decoding non-unique oligonucleotide hybridization experiments of targets related by a phylogenetic tree
    Alexander Schliep
    Dept Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Ihnestrasse 63 73, D 14195 Berlin, Germany
    Bioinformatics 22:e424-30. 2006
    ..Of great relevance, however, is the problem of identifying the presence of previously unknown targets or of targets that evolve rapidly...
  97. ncbi Generalized hierarchical markov models for the discovery of length-constrained sequence features from genome tiling arrays
    Mayetri Gupta
    Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA
    Biometrics 63:797-805. 2007
    ..Application of this methodology to yeast chromosomal arrays demonstrate substantial improvement over currently existing methods in terms of sensitivity as well as biological interpretability...
  98. ncbi Postprocessing of genealogical trees
    Loukia Meligkotsidou
    Department of Mathematics and Statistics, Lancaster University, Lancaster, LA1 4YF, United Kingdom
    Genetics 177:347-58. 2007
    ....
  99. ncbi Inference of population structure under a Dirichlet process model
    John P Huelsenbeck
    Department of Integrative Biology, University of California, Berkeley, California 94720, USA
    Genetics 175:1787-802. 2007
    ..We develop the notion of the mean population partition, which is the partition of individuals to populations that minimizes the squared partition distance to the partitions sampled by the MCMC algorithm...
  100. ncbi PRec-I-DCM3: a parallel framework for fast and accurate large-scale phylogeny reconstruction
    Yuri Dotsenko
    Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, USA
    Int J Bioinform Res Appl 2:407-19. 2006
    ..We improve the performance of Rec-I-DCM3 via parallelisation. The experiments demonstrate that our parallel method, PRec-I-DCM3, achieves significant improvements, both in speed and accuracy, over its sequential counterpart...
  101. ncbi Molecular phylogenetics of squamata: the position of snakes, amphisbaenians, and dibamids, and the root of the squamate tree
    Ted Townsend
    Department of Biology, Washington University, St Louis, Missouri 63130, USA
    Syst Biol 53:735-57. 2004
    ..Amphisbaenians are the sister group of lacertids, and dibamid lizards diverged early in squamate evolutionary history. Snakes are grouped with iguanians, lacertiforms, and anguimorphs, but are not nested within anguimorphs...

Research Grants77

  1. 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. ..
  2. 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. ..
  3. 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. ..
  4. 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. ..
  5. 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. ..
  6. Genetic Signatures of Preinvasive Breast Disease
    Carol Rosenberg; Fiscal Year: 2007
    ....
  7. 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. ..
  8. 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. ..
  9. 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. ..
  10. 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. ..
  11. MCMSki II: Markov Chain Monte Carlo in Theory and Practice
    Bradley Carlin; Fiscal Year: 2007
    ....
  12. STATISTICAL METHODS FOR COMPLEX CANCER TRIALS
    Peter F Thall; Fiscal Year: 2010
    ....
  13. 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. ..
  14. 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. ..
  15. 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. ..
  16. Genetics, Environment and Weight Gain Posttransplant
    Ann Cashion; Fiscal Year: 2009
    ..This will result in fewer health care problems following transplantation. ..
  17. Genetics, Environment and Weight Gain Posttransplant
    Ann K Cashion; Fiscal Year: 2010
    ..This will result in fewer health care problems following transplantation. ..
  18. 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. ..
  19. 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. ..
  20. 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. ..
  21. The 8th Valencie/ISBA World Meeting on Bayesian Statistics
    ALAN GELFAND; Fiscal Year: 2006
    ..Encourage discussions among researchers in diverse areas to foster cross-fertilization of ideas. Facilitate small-group discussions among senior and junior researchers. Disseminate results of the conference as widely as possible. ..
  22. Metabolomics of the Virus-host Cell Interaction
    Joshua Rabinowitz; Fiscal Year: 2007
    ..Such pathways, once identified, will be attractive new targets for antiviral therapy. ..
  23. 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. ..
  24. 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. ..
  25. 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. ..
  26. 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. ..