normal distribution

Summary

Summary: Continuous frequency distribution of infinite range. Its properties are as follows: 1, continuous, symmetrical distribution with both tails extending to infinity; 2, arithmetic mean, mode, and median identical; and 3, shape completely determined by the mean and standard deviation.

Top Publications

  1. ncbi A Gaussian mixture model for definition of lung tumor volumes in positron emission tomography
    Michalis Aristophanous
    Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 34:4223-35. 2007
  2. 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
  3. ncbi A simple white noise analysis of neuronal light responses
    E J Chichilnisky
    Systems Neurobiology, The Salk Institute, La Jolla, CA 92037 1099, USA
    Network 12:199-213. 2001
  4. pmc Structural changes involved in protein binding correlate with intrinsic motions of proteins in the unbound state
    Dror Tobi
    Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
    Proc Natl Acad Sci U S A 102:18908-13. 2005
  5. pmc A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series
    Oliver Stegle
    Interdepartmental Bioinformatics Group, Max Planck Institute for Developmental Biology, Max Planck Institute for Biological Cybernetics, Tubingen, Germany
    J Comput Biol 17:355-67. 2010
  6. pmc Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
    Emma J Cooke
    Systems Biology Centre, University of Warwick, Coventry, UK
    BMC Bioinformatics 12:399. 2011
  7. pmc Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study
    J F A Jansen
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
    AJNR Am J Neuroradiol 31:741-8. 2010
  8. pmc Single neuron firing properties impact correlation-based population coding
    Sungho Hong
    Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa 904 0411, Japan
    J Neurosci 32:1413-28. 2012
  9. pmc Bayesian correlated clustering to integrate multiple datasets
    Paul Kirk
    Systems Biology Centre, University of Warwick, Coventry, CV4 7AL, UK
    Bioinformatics 28:3290-7. 2012
  10. pmc White matter characterization with diffusional kurtosis imaging
    Els Fieremans
    Department of Radiology, New York University School of Medicine, New York, NY, USA
    Neuroimage 58:177-88. 2011

Research Grants

Detail Information

Publications222 found, 100 shown here

  1. ncbi A Gaussian mixture model for definition of lung tumor volumes in positron emission tomography
    Michalis Aristophanous
    Department of Radiation and Cellular Oncology, The University of Chicago, Chicago, Illinois 60637, USA
    Med Phys 34:4223-35. 2007
    ..With this work we have established the applicability of the GMM-based segmentation on clinical studies and we have made an initial assessment of the method's precision with respect to tumor volume segmentation...
  2. 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...
  3. ncbi A simple white noise analysis of neuronal light responses
    E J Chichilnisky
    Systems Neurobiology, The Salk Institute, La Jolla, CA 92037 1099, USA
    Network 12:199-213. 2001
    ..Advantages and disadvantages of the technique relative to classical approaches are discussed...
  4. pmc Structural changes involved in protein binding correlate with intrinsic motions of proteins in the unbound state
    Dror Tobi
    Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15261, USA
    Proc Natl Acad Sci U S A 102:18908-13. 2005
    ....
  5. pmc A robust Bayesian two-sample test for detecting intervals of differential gene expression in microarray time series
    Oliver Stegle
    Interdepartmental Bioinformatics Group, Max Planck Institute for Developmental Biology, Max Planck Institute for Biological Cybernetics, Tubingen, Germany
    J Comput Biol 17:355-67. 2010
    ..In classification experiments, our test compares favorably with existing methods and provides additional insights into time-dependent differential expression...
  6. pmc Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
    Emma J Cooke
    Systems Biology Centre, University of Warwick, Coventry, UK
    BMC Bioinformatics 12:399. 2011
    ..Outlier measurements at one or more time points present a significant challenge, while potentially valuable replicate information is often ignored by existing techniques...
  7. pmc Non-gaussian analysis of diffusion-weighted MR imaging in head and neck squamous cell carcinoma: A feasibility study
    J F A Jansen
    Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, New York 10021, USA
    AJNR Am J Neuroradiol 31:741-8. 2010
    ..The objective of this study was to test the feasibility of non-Gaussian fitting by using the kurtosis model of the signal intensity decay curves obtained from DWI by using an extended range of b-values in studies of phantoms and HNSCC...
  8. pmc Single neuron firing properties impact correlation-based population coding
    Sungho Hong
    Computational Neuroscience Unit, Okinawa Institute of Science and Technology, Okinawa 904 0411, Japan
    J Neurosci 32:1413-28. 2012
    ..Our results also highlight the importance of neuronal properties for population-level coding insofar as neural networks can employ different coding schemes depending on the dominant operating mode of their constituent neurons...
  9. pmc Bayesian correlated clustering to integrate multiple datasets
    Paul Kirk
    Systems Biology Centre, University of Warwick, Coventry, CV4 7AL, UK
    Bioinformatics 28:3290-7. 2012
    ..Each dataset is modelled using a Dirichlet-multinomial allocation (DMA) mixture model, with dependencies between these models captured through parameters that describe the agreement among the datasets...
  10. pmc White matter characterization with diffusional kurtosis imaging
    Els Fieremans
    Department of Radiology, New York University School of Medicine, New York, NY, USA
    Neuroimage 58:177-88. 2011
    ..Combining the proposed WM model with DKI provides a convenient method for the clinical assessment of white matter in health and disease and could potentially provide important information on neurodegenerative disorders...
  11. ncbi Coding of horizontal disparity and velocity by MT neurons in the alert macaque
    Gregory C DeAngelis
    Department of Anatomy and Neurobiology, Washington University School of Medicine, Saint Louis, Missouri 63110, USA
    J Neurophysiol 89:1094-111. 2003
    ..We suggest that this result reflects a strategy used to finely distribute the disparity preferences of MT neurons, given the predominance of odd-symmetry and broad tuning...
  12. ncbi Optimal experimental design for diffusion kurtosis imaging
    Dirk H J Poot
    IBBT Vision Lab, University of Antwerp, B 2610 Antwerp, Belgium
    IEEE Trans Med Imaging 29:819-29. 2010
    ..It is shown that the precision with which the kurtosis parameters can be estimated, increases substantially by optimizing the gradient settings...
  13. pmc Clustering cancer gene expression data: a comparative study
    Marcilio C P De Souto
    Computational Molecular Biology, Max Planck Institute for Molecular Genetics, Berlin, Germany
    BMC Bioinformatics 9:497. 2008
    ..There have been no studies thus far performing a large-scale evaluation of different clustering methods in this context...
  14. ncbi Gaussian process modelling of latent chemical species: applications to inferring transcription factor activities
    Pei Gao
    School of Computer Science, University of Manchester, Kilburn Building, Oxford Road, Manchester
    Bioinformatics 24:i70-5. 2008
    ..We present a framework for Bayesian marginalization of these latent chemical species through Gaussian process priors...
  15. pmc Automatic independent component labeling for artifact removal in fMRI
    Jussi Tohka
    Institute of Signal Processing, Tampere University of Technology, Tampere, Finland
    Neuroimage 39:1227-45. 2008
    ..We conclude that automatic ICA-based denoising offers a potentially useful approach to improve the quality of fMRI data and consequently increase the accuracy of the statistical analysis of these data...
  16. ncbi A Gaussian mixture model based classification scheme for myoelectric control of powered upper limb prostheses
    Yonghong Huang
    Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, Canada
    IEEE Trans Biomed Eng 52:1801-11. 2005
    ..The GMM-based limb motion classification system demonstrates exceptional classification accuracy and results in a robust method of motion classification with low computational load...
  17. pmc Problems with using the normal distribution--and ways to improve quality and efficiency of data analysis
    Eckhard Limpert
    ELI o Research, Life Sciences, Zurich, Switzerland
    PLoS ONE 6:e21403. 2011
    The gaussian or normal distribution is the most established model to characterize quantitative variation of original data...
  18. ncbi Asymptotic behaviors of support vector machines with Gaussian kernel
    S Sathiya Keerthi
    Department of Mechanical Engineering, National University of Singapore, Singapore 119260, Republic of Singapore
    Neural Comput 15:1667-89. 2003
    ..The analysis also indicates that if complete model selection using the gaussian kernel has been conducted, there is no need to consider linear SVM...
  19. ncbi Kalman filter mixture model for spike sorting of non-stationary data
    Ana Calabrese
    Center for Theoretical Neuroscience, Columbia University, 1051 Riverside Dr, New York, NY 10032, United States
    J Neurosci Methods 196:159-69. 2011
    ..In addition, refractory effects may be incorporated via closely related hidden Markov model techniques. We present an analysis of the algorithm's performance on both simulated and real data...
  20. ncbi Bayesian fMRI time series analysis with spatial priors
    William D Penny
    Wellcome Department of Imaging Neuroscience, UCL, London, UK
    Neuroimage 24:350-62. 2005
    ..Our model generalizes earlier work on voxel-wise estimation of GLM-AR models and inference in GLMs using Posterior Probability Maps (PPMs). Results are shown on simulated data and on data from an event-related fMRI experiment...
  21. pmc Evaluation of normalization methods for microarray data
    Taesung Park
    Department of Statistics, Seoul National University, Seoul, Korea
    BMC Bioinformatics 4:33. 2003
    ..Normalization plays an important role in the earlier stage of microarray data analysis. The subsequent analysis results are highly dependent on normalization...
  22. ncbi Detection and measurement of retinal vessels in fundus images using amplitude modified second-order Gaussian filter
    Luo Gang
    School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
    IEEE Trans Biomed Eng 49:168-72. 2002
    ..The experiment shows that the inclusion of the width measurement in the detection process can improve the performance of matched filter and result in a significant increase in success rate of detection...
  23. ncbi Gaussian mixture clustering and imputation of microarray data
    Ming Ouyang
    Environmental and Occupational Health Sciences Institute, UMDNJ Robert Wood Johnson Medical School and Rutgers, The State University of New Jersey, 170 Frelinghuysen Road, Piscataway, NJ 08854, USA
    Bioinformatics 20:917-23. 2004
    ..Many analysis methods require a full set of data. Either those genes with missing entries are excluded, or the missing entries are filled with estimates prior to the analyses. This study compares methods of missing value estimation...
  24. ncbi Colorectal anatomy in adults at computed tomography colonography: normal distribution and the effect of age, sex, and body mass index
    M A Khashab
    Department of Medicine, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA
    Endoscopy 41:674-8. 2009
    ..Our aims were to determine the normal distribution of in vivo colorectal anatomy and to investigate the effect of age, sex, and body mass index (BMI) on ..
  25. ncbi Sparse and dense coding of natural stimuli by distinct midbrain neuron subpopulations in weakly electric fish
    Katrin Vonderschen
    Department of Physiology, McGill University, Montreal, Quebec, Canada
    J Neurophysiol 106:3102-18. 2011
    ..Our results therefore suggest that the TS implements parallel detection and estimation of sensory input...
  26. ncbi Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks
    Adriano V Werhli
    Biomathematics and Statistics Scotland, Edinburgh, UK
    Bioinformatics 22:2523-31. 2006
    ..We use both laboratory data from cytometry experiments as well as data simulated from the gold-standard network. We also compare passive observations with active interventions...
  27. ncbi Level set segmentation of brain magnetic resonance images based on local Gaussian distribution fitting energy
    Li Wang
    School of Computer Science and Technology, Nanjing University of Science and Technology, Nanjing 210094, China
    J Neurosci Methods 188:316-25. 2010
    ..Therefore, our method is able to deal with intensity inhomogeneity without inhomogeneity correction. Our method has been applied to 3T and 7T MR images with promising results...
  28. pmc Bayesian inference of genetic parameters based on conditional decompositions of multivariate normal distributions
    Jon Hallander
    Department of Animal Science, Iowa State University, Ames, Iowa 50011 3150, USA
    Genetics 185:645-54. 2010
    ..The analysis showed that our method was fast and provided accurate estimates and that it should therefore be a helpful tool for estimating genetic parameters of complex pedigrees quickly and reliably...
  29. ncbi Variational level set combined with Markov random field modeling for simultaneous intensity non-uniformity correction and segmentation of MR images
    Zahra Shahvaran
    Department of Electrical and Electronics Engineering, Shiraz University of Technology, Shiraz, Iran
    J Neurosci Methods 209:280-9. 2012
    ..In particular, it is superior in term of accuracy as compared to LGDF and FSL-FAST methods...
  30. ncbi Cortical neuronal responses to optic flow are shaped by visual strategies for steering
    William K Page
    Department of Neurology, and Center for Visual Science, The University of Rochester Medical Center, Rochester, NY 14642 0673, USA
    Cereb Cortex 18:727-39. 2008
    ..We conclude that the selection of specific visual cues reflects strategies for active steering and alters MSTd neuronal responses to optic flow...
  31. ncbi Efficient greedy learning of gaussian mixture models
    J J Verbeek
    Informatics Institute, University of Amsterdam, 1098 SJ Amsterdam, The Netherlands
    Neural Comput 15:469-85. 2003
    ..Experimental results comparing the proposed algorithm to other methods on density estimation and texture segmentation are provided...
  32. pmc A novel cell segmentation method and cell phase identification using Markov model
    Xiaobo Zhou
    The Methodist Hospital Research Institute, Weill Medical College, Cornell University, Houston, TX 77030, USA
    IEEE Trans Inf Technol Biomed 13:152-7. 2009
    ..Using the context information of time-lapse data, the phases of cell nuclei are identified accurately via a Markov model. Experimental results show that the proposed system is effective for nuclei segmentation and phase identification...
  33. ncbi Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals
    Giulia Barbati
    Department of Neuroscience, AFaR Center of Medical Statistics and Information Technology, Fatebenefratelli Hospital, Isola Tiberina, Lungotevere degli Anguillara 12, 00153 Rome, Italy
    Clin Neurophysiol 115:1220-32. 2004
    ....
  34. ncbi Deformation-based surface morphometry applied to gray matter deformation
    Moo K Chung
    Department of Statistics, University of Wisconsin, 1210 West Dayton Street, Madison, WI 53706 1685, USA
    Neuroimage 18:198-213. 2003
    ....
  35. ncbi Bayesian inference with probabilistic population codes
    Wei Ji Ma
    Department of Brain and Cognitive Sciences, Meliora Hall, University of Rochester, Rochester, New York 14627, USA
    Nat Neurosci 9:1432-8. 2006
    ..These results hold for arbitrary probability distributions over the stimulus, for tuning curves of arbitrary shape and for realistic neuronal variability...
  36. pmc Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
    Byron M Yu
    Department of Electrical Engineering, Neurosciences Program, Stanford University, Stanford, CA, USA
    J Neurophysiol 102:614-35. 2009
    ....
  37. ncbi Negative interspike interval correlations increase the neuronal capacity for encoding time-dependent stimuli
    M J Chacron
    Department of Physics, University of Ottawa, Ottawa, Ontario, Canada K1N 6N5
    J Neurosci 21:5328-43. 2001
    ..This suggests that a rate code is used for the encoding of low-frequency stimuli, whereas spike timing is important for the encoding of high-frequency stimuli...
  38. ncbi A fragment library based on Gaussian mixtures predicting favorable molecular interactions
    V V Rantanen
    Department of Mathematics, University of Turku, FIN 20014, Turku, Finland
    J Mol Biol 313:197-214. 2001
    ..These analyses demonstrate that this approach can successfully narrow down the possibilities for both the interacting protein atom type and its location relative to a ligand fragment...
  39. pmc Receptive field dynamics underlying MST neuronal optic flow selectivity
    Chen Ping Yu
    Department of Computer Sciences, Rochester Institute of Technology Rochester, Rochester, New York, USA
    J Neurophysiol 103:2794-807. 2010
    ..We conclude that MST's optic flow selectivity reflects dynamic interactions between spatially distributed local planar motion response mechanisms...
  40. ncbi Preliminary testing for normality: some statistical aspects of a common concept
    V Schoder
    proDERM, Institute for Applied Dermatological Research, Schenefeld, Hamburg, Germany
    Clin Exp Dermatol 31:757-61. 2006
    ..Adequacy of the statistical procedure depends among others on distributional assumptions. In dermatological articles, the choice between parametric and nonparametric methods is often based on preliminary goodness-of-fit tests...
  41. ncbi An information theoretic approach to EEG-fMRI integration of visually evoked responses
    Dirk Ostwald
    Birmingham University Imaging Centre, School of Psychology, University of Birmingham, UK
    Neuroimage 49:498-516. 2010
    ....
  42. ncbi A simple and effective decision rule for choosing a significance test to protect against non-normality
    Donald W Zimmerman
    Carleton University, Ottawa, Ontario, Canada
    Br J Math Stat Psychol 64:388-409. 2011
    ..computer software, protects the Type I error rate and increases power for various sample sizes, significance levels, and non-normal distribution shapes. Limitations of the procedure in the case of heterogeneity of variance are discussed.
  43. pmc Empirical Bayes hierarchical models for regularizing maximum likelihood estimation in the matrix Gaussian Procrustes problem
    Douglas L Theobald
    Department of Chemistry and Biochemistry, UCB 215, University of Colorado, Boulder, CO 80309, USA
    Proc Natl Acad Sci U S A 103:18521-7. 2006
    ..Our analysis generalizes, simplifies, and extends results from previous discussions of the ML Procrustes problem. An iterative algorithm is presented for the simultaneous, numerical determination of the ML solutions...
  44. ncbi Theory of input spike auto- and cross-correlations and their effect on the response of spiking neurons
    Rubén Moreno-Bote
    Departamento de Física Teórica Universidad Autónoma de Madrid, Cantoblanco 28049, Madrid, Spain
    Neural Comput 20:1651-705. 2008
    ..We expect this formalism to be useful for the study of correlations in neuronal networks and their role in neural processing and information transmission...
  45. pmc Probabilistic combination of slant information: weighted averaging and robustness as optimal percepts
    Ahna R Girshick
    Department of Psychology and Center for Neural Science, New York University, New York, NY, USA
    J Vis 9:8.1-20. 2009
    ..We also asked whether observers had conscious access to the single-cue estimates when they exhibited robustness and found they did not, i.e. they completely fused despite the robust percepts...
  46. ncbi A closer look at the effect of preliminary goodness-of-fit testing for normality for the one-sample t-test
    Justine Rochon
    Institute of Medical Biometry and Informatics, University of Heidelberg, Germany
    Br J Math Stat Psychol 64:410-26. 2011
    ..lognormal, uniform, Student's t-distribution with 2 degrees of freedom (t(2) ) and the standard normal distribution that had passed normality screening, as well as the ingredients of the test statistics calculated from ..
  47. ncbi Random dynamics of the Morris-Lecar neural model
    Takashi Tateno
    Department of Physiology, University of Cambridge, Downing Street, Cambridge CB2 3EG, United Kingdom
    Chaos 14:511-30. 2004
    ..The interpretation of this result in terms of neuronal coding is that, despite the differences in the deterministic dynamics of class I and class II membranes, their responses to noise-like stimuli present a reliable feature...
  48. ncbi Magnetic field dependence of the distribution of NMR relaxation times in the living human brain
    A M Oros-Peusquens
    Institute of Medicine, MR Group, Research Centre Julich, 52425 Julich, Germany
    MAGMA 21:131-47. 2008
    ..In this paper, however, only the T2 and T2* results on a single volunteer are presented. The reported field dependence of T2 and T2* values should, therefore, be given less weight than that of T1 times...
  49. pmc Large standard deviations and logarithmic-normality: the truth about hemocyte counts in Drosophila
    Richard Paul Sorrentino
    Notre Dame Integrated Imaging Facility NDII F and Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA
    Fly (Austin) 4:327-32. 2010
    ..in the distribution of individual values, many biological phenomena are not accurately described by the normal distribution. An unquestioned assumption of normality of distribution of possible outcomes can lead to misinterpretation ..
  50. ncbi Classification of a known sequence of motions and postures from accelerometry data using adapted Gaussian mixture models
    Felicity R Allen
    Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia
    Physiol Meas 27:935-51. 2006
    ..While limited to a restricted subset of possible motions and postures, these results provide a significant step in the search for a more robust and accurate ambulatory classification system...
  51. ncbi Two-dimensional time coding in the auditory brainstem
    Sean J Slee
    Department of Physiology and Biophysics, University of Washington, Seattle, Washington 98105, USA
    J Neurosci 25:9978-88. 2005
    ..This study demonstrates the power of covariance analysis for investigating single neuron computation...
  52. ncbi Analyzing neural responses to natural signals: maximally informative dimensions
    Tatyana Sharpee
    Sloan Swartz Center for Theoretical Neurobiology, Department of Physiology, University of California at San Francisco CA 94143, USA
    Neural Comput 16:223-50. 2004
    ..These ideas are illustrated in simulations on model visual and auditory neurons responding to natural scenes and sounds, respectively...
  53. pmc Discrete dynamic Bayesian network analysis of fMRI data
    John Burge
    Department of Computer Science, University of New Mexico, Albuquerque, NM 87131 1161, USA
    Hum Brain Mapp 30:122-37. 2009
    ..Limitations and extensions to the dDBN method are discussed...
  54. pmc An empirical comparison of spatial scan statistics for outbreak detection
    Daniel B Neill
    HJ Heinz III College, Carnegie Mellon University, Pittsburgh, PA 15213, USA
    Int J Health Geogr 8:20. 2009
    ..We evaluate the detection performance of twelve variants of spatial scan, using synthetic outbreaks injected into four real-world public health datasets...
  55. ncbi Gaussian process approach to spiking neurons for inhomogeneous Poisson inputs
    K I Amemori
    Nara Institute of Science and Technology, Ikoma shi, Nara 630 0101, Japan
    Neural Comput 13:2763-97. 2001
    ..Our approach can consider the reset effect, which has been difficult to deal with by analysis based on the first passage time density...
  56. ncbi Analysis of correlations between energy and residue fluctuations in native proteins and determination of specific sites for binding
    Turkan Haliloglu
    Polymer Research Center, Bogazici University, Bebek, Istanbul, Turkey
    Phys Rev Lett 102:088103. 2009
    ..We test the validity of this postulate on a data set of 33 structurally distinct proteins in the unbound state. Detailed results are presented for drug binding to the HIV protease...
  57. ncbi Bayesian framework for least-squares support vector machine classifiers, gaussian processes, and kernel Fisher discriminant analysis
    T Van Gestel
    Katholieke Universiteit Leuven, Department of Electrical Engineering ESAT SISTA, B 3001 Leuven, Belgium
    Neural Comput 14:1115-47. 2002
    ..Empirical results obtained on 10 public domain data sets show that the LS-SVM classifier designed within the Bayesian evidence framework consistently yields good generalization performances...
  58. pmc Exploring the common dynamics of homologous proteins. Application to the globin family
    Sandra Maguid
    Universidad Nacional de Quilmes, B1876BXD Bernal, Argentina
    Biophys J 89:3-13. 2005
    ..The two lowest normal modes are shown to be conserved within this family. Our results encourage the development of models for protein evolution that take into account the conservation of dynamical features...
  59. ncbi Thorough validation of protein normal mode analysis: a comparative study with essential dynamics
    Manuel Rueda
    Molecular Modeling and Bioinformatics Unit, Institut de Recerca Biomèdica, Parc Cientific de Barcelona, 08028 Barcelona, Spain
    Structure 15:565-75. 2007
    ..The results provide not only a comprehensive validation of the use of a low-frequency modal spectrum to describe protein flexibility, but also a complete picture of normal mode limitations...
  60. ncbi Elastic network models for understanding biomolecular machinery: from enzymes to supramolecular assemblies
    Chakra Chennubhotla
    Department of Computational Biology, School of Medicine, University of Pittsburgh, W1040 BST 200 Lothrop Street, Pittsburgh, PA 15261, USA
    Phys Biol 2:S173-80. 2005
    ..To this end, we introduce a new approach for building a hierarchical, reduced rank representation of the protein topology and consequently the fluctuation dynamics...
  61. pmc Dynamics of proteins in crystals: comparison of experiment with simple models
    Sibsankar Kundu
    Department of Biochemistry, University of Wisconsin, Madison, Wisconsin 53706, USA
    Biophys J 83:723-32. 2002
    ..By incorporating the effect of neighboring molecules in the crystal the correlation is further improved...
  62. pmc iGNM: a database of protein functional motions based on Gaussian Network Model
    Lee Wei Yang
    Department of Computational Biology, School of Medicine, University of Pittsburgh Pittsburgh, PA 15213, USA
    Bioinformatics 21:2978-87. 2005
    ..The recent success of analytical methods based on elastic network models, and in particular the Gaussian Network Model (GNM), permits us to perform a high-throughput analysis of the collective dynamics of proteins...
  63. ncbi Statistical analysis of high-density oligonucleotide arrays: a multiplicative noise model
    R Sasik
    School of Medicine, University of California San Diego, La Jolla, CA 92093 0679, USA
    Bioinformatics 18:1633-40. 2002
    ..Unlike LW and AMS, we do not assume probe-specific background (measured by the so-called mismatch probes). Rather, we assume uniform background, whose level is estimated using both the mismatch and perfect match probe intensities...
  64. ncbi Bayesian population decoding of motor cortical activity using a Kalman filter
    Wei Wu
    Division of Applied Mathematics, Brown University, Providence, RI 02912, USA
    Neural Comput 18:80-118. 2006
    ..Additionally the formulation unifies and extends previous models of neural coding while providing insights into the motor-cortical code...
  65. pmc Gaussian-weighted RMSD superposition of proteins: a structural comparison for flexible proteins and predicted protein structures
    Kelly L Damm
    Department of Medicinal Chemistry, University of Michigan, Ann Arbor, Michigan 48109 1065, USA
    Biophys J 90:4558-73. 2006
    ..Comparing a predicted fold to its experimentally determined target structure is another case of comparing two protein conformations of the same sequence, and the degree of alignment directly reflects the quality of the prediction...
  66. pmc oGNM: online computation of structural dynamics using the Gaussian Network Model
    Lee Wei Yang
    Department of Computational Biology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
    Nucleic Acids Res 34:W24-31. 2006
    ..These results open the way to a rapid assessment of the dynamics of DNA/RNA-containing complexes. The server can be accessed at http://ignm.ccbb.pitt.edu/GNM_Online_Calculation.htm...
  67. pmc A context-sensitive approach to anonymizing spatial surveillance data: impact on outbreak detection
    Christopher A Cassa
    Children s Hospital Boston, Informatics Program Mandl Group, 1 Autumn Street, 721, Boston, MA 02215 5362 USA
    J Am Med Inform Assoc 13:160-5. 2006
    ..Further, we measure the impact of the skew on detection of spatial clustering as measured by a spatial scanning statistic...
  68. ncbi Eckart axis conditions, Gauss' principle of least constraint, and the optimal superposition of molecular structures
    Gerald R Kneller
    Centre de Biophysique Moleculaire, CNRS, rue Charles Sadron, 45071 Orleans, France
    J Chem Phys 128:194101. 2008
    ..The importance of Eckart's problem for extracting the internal motions of macromolecules from simulated molecular dynamics trajectories is pointed out, and it is shown how the case of coarse-grained sampled trajectories can be treated...
  69. pmc Sparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thaliana
    Anja Wille
    Reverse Engineering Group, Swiss Federal Institute of Technology ETH, Zurich
    Genome Biol 5:R92. 2004
    ..Genes of downstream pathways also fit well into the network. We evaluate our approach in a simulation study and using the yeast galactose network...
  70. ncbi Effects of spatial smoothing on fMRI group inferences
    Michal Mikl
    Department of Biomedical Engineering, FEEC, Brno University of Technology, Koleni 4, 612 00 Brno, Czech Republic
    Magn Reson Imaging 26:490-503. 2008
    ..For less robust experiments and fewer subjects in the study, a higher FWHM would be optimal for group inference than for single-subject inferences...
  71. ncbi Clustering expressed genes on the basis of their association with a quantitative phenotype
    Zhenyu Jia
    Department of Botany and Plant Sciences, University of California, Riverside, 92521, USA
    Genet Res 86:193-207. 2005
    ..The method was verified by analysing two simulated datasets, and further demonstrated using real data generated in a microarray experiment for the study of gene expression associated with Alzheimer's disease...
  72. ncbi Modelling of discrete spatial variation in epidemiology with SAS using GLIMMIX
    Søren Rasmussen
    National Institute of Public Health, Svanemøllevej 25 2100 Copenhagen, Denmark
    Comput Methods Programs Biomed 76:83-9. 2004
    ..The code gives epidemiologists and bio-statisticians an immediate tool for analysing discrete spatial models in a familiar statistical software package...
  73. ncbi General-purpose filter design for neural prosthetic devices
    Lakshminarayan Srinivasan
    Center for Nervous System Repair, Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA
    J Neurophysiol 98:2456-75. 2007
    ..These simulated results predict that the unified framework outperforms previous approaches under various conditions, in the control of position and velocity, based on trajectory and endpoint mean squared errors...
  74. ncbi Information theoretical evaluation of parametric models of gain control in blowfly photoreceptor cells
    J H van Hateren
    Department of Neurobiophysics, University of Groningen, Nijenborgh 4, NL 9747 AG Groningen, The Netherlands
    Vision Res 41:1851-65. 2001
    ..Any remaining peaks that would drive the photoreceptor out of its dynamic range are handled by the final compressive nonlinearity...
  75. ncbi A novel strategy for microarray quality control using Bayesian networks
    Sampsa Hautaniemi
    Institute of Signal Processing, Tampere University of Technology, PO Box 553, 33101 Tampere, Finland
    Bioinformatics 19:2031-8. 2003
    ..A typical microarray experiment consists of tens of thousands of spots on a microarray, making manual extraction of poor quality spots impossible. Thus, there is a need for a reliable and general microarray spot quality control strategy...
  76. ncbi Parametric modelling of cost data in medical studies
    R M Nixon
    Biostatistics Unit, University Forvie Site MRC, Robinson Way, Cambridge CB2 2SR, U K
    Stat Med 23:1311-31. 2004
    ..Skewed parametric distributions fit cost data better than the normal distribution, and should in principle be preferred for estimating the population mean cost...
  77. ncbi Normalization methods for analysis of microarray gene-expression data
    Yi Ju Chen
    Division of Biometry and Risk Assessment, National Center for Toxicological Research, Food and Drug Administration, Jefferson, Arkansas 72079, USA
    J Biopharm Stat 13:57-74. 2003
    ..The method that combines a subset approach (median or lowess fit) for location adjustment with a global lowess fit for intensity adjustment appears to perform well...
  78. ncbi Contrast's effect on spatial summation by macaque V1 neurons
    M P Sceniak
    Center for Neural Science, New York University, 4 Washington Pl, New York, New York 10003, USA
    Nat Neurosci 2:733-9. 1999
    ..3-fold greater at low contrast. This adaptive increase in spatial summation at low contrast was seen in cells throughout V1 and was independent of surround inhibition...
  79. ncbi Diffuse photon propagation in multilayered geometries
    Jan Sikora
    Institute of the Theory of Electrical Engineering, Measurement and Information Systems, Warsaw University of Technology, Koszykowa 75, 00 661 Warsaw, Poland
    Phys Med Biol 51:497-516. 2006
    ..Results are presented comparing these solutions to an independent Monte Carlo model, and for an example three layered head model...
  80. ncbi Wheeze detection using cepstral analysis in Gaussian Mixture Models
    Jen Chien Chien
    Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan, ROC
    Conf Proc IEEE Eng Med Biol Soc 2007:3168-71. 2007
    ..If the threshold is bigger than zero, the sound is normal. Otherwise, the sound is wheeze. From experimental results, when the Gaussian mix number is 16, the accuracy of identification of wheeze is up to 90%...
  81. ncbi Multiscale probability density function analysis: non-Gaussian and scale-invariant fluctuations of healthy human heart rate
    Ken Kiyono
    Educational Physiology Laboratory, Graduate School of Education, The University of Tokyo, Japan
    IEEE Trans Biomed Eng 53:95-102. 2006
    ..Our results strongly suggest the need for revising existing models of heart rate variability to incorporate the scale-invariance in the PDF...
  82. pmc Statistical analyses of brain surfaces using Gaussian random fields on 2-D manifolds
    Ravi Bansal
    New York State Psychiatric Institute, New York, NY 10032, USA
    IEEE Trans Med Imaging 26:46-57. 2007
    ....
  83. pmc Fourth order approaches for localization of brain current sources
    Laurent Albera
    INSERM UMR 642, Lab Traitement du Signal et de 1 Image, Faculty of Elec Engineering, Rennes 1 Univ, France
    Conf Proc IEEE Eng Med Biol Soc 1:4498-501. 2006
    ..Computer results display the superiority of the 4-RapMUSIC approach in different situations (two closed sources, additive Gaussian noise with unknown spatial covariance, ...) especially over classical algorithms...
  84. ncbi Diagnosis of Parkinsonian disorders using a channelized Hotelling observer model: proof of principle
    H Bal
    Department of Radiology, Thomas Jefferson University, 132 S 10th Street, Main Bldg, Philadelphia, Pennsylvania 19107, USA
    Med Phys 34:3987-95. 2007
    ..95 +/- 0.07; p < 0.0001 Fisher's exact test). Based on our results, we conclude that a CHO model has the potential to provide early and accurate diagnosis of Parkinsonian disorders, thereby improving patient management...
  85. ncbi Simple spontaneously active Hebbian learning model: homeostasis of activity and connectivity, and consequences for learning and epileptogenesis
    David Hsu
    Department of Neurology, University of Wisconsin, Madison, Wisconsin 53792, USA
    Phys Rev E Stat Nonlin Soft Matter Phys 76:041909. 2007
    ..Based on our simulations, we predict that the postseizural and postdeafferentation states should be supercritical and epileptogenic. Furthermore, interventions that boost spontaneous activity should be protective against epileptogenesis...
  86. ncbi EMD-based 60-Hz noise filtering of the ECG
    Amit J Nimunkar
    Department of Biomedical Engineering, University of Wisconsin Madison, Madison, WI 53706, USA
    Conf Proc IEEE Eng Med Biol Soc 2007:1904-7. 2007
    ..The results are compared with traditional IIR-based bandstop filtering. This technique is also implemented for filtering power line noise during enhancement of stress ECG signals...
  87. ncbi Renyi entropy measures of heart rate Gaussianity
    Douglas E Lake
    Cardiovascular Division, University of Virginia, Charlottesville 22908, USA
    IEEE Trans Biomed Eng 53:21-7. 2006
    ..Robust algorithms for estimating these quantities are presented along with estimates of their standard errors...
  88. ncbi Study on subset size selection in digital image correlation for speckle patterns
    Bing Pan
    FML, Dept of Engineering Mechanics, Tsinghua University, Beijing, China
    Opt Express 16:7037-48. 2008
    ..Numerical experiments have been performed to validate the proposed concepts, and the calculated results show good agreements with the theoretical predictions...
  89. ncbi Interspike interval statistics of a leaky integrate-and-fire neuron driven by Gaussian noise with large correlation times
    Tilo Schwalger
    Humboldt Universitat Berlin, Newtonstrasse 15, D 12489 Berlin, Germany and RIKEN Brain Science Institute, 2 1 Hirosawa, Wako, Saitama 351 0198, Japan
    Phys Rev E Stat Nonlin Soft Matter Phys 77:031914. 2008
    ..This is in contrast to findings of previous works on a simpler neuron model where the effect of noise correlations appeared in higher-order statistical measures...
  90. ncbi Clustering microarray gene expression data using weighted Chinese restaurant process
    Zhaohui S Qin
    Center for Statistical Genetics, Department of Biostatistics, School of Public Health, University of Michigan 1420 Washington Heights, Ann Arbor, MI 48109 2029, USA
    Bioinformatics 22:1988-97. 2006
    ..However, substantial fluctuation contained in microarray data, lack of knowledge on the number of clusters and complex regulatory mechanisms underlying biological systems make the clustering problems tremendously challenging...
  91. ncbi A method for locating gradual changes in time series
    Heiko Hofer
    Institute of Mathematics and Computer Science, University of the Armed Forces, Munich, Germany
    Biomed Tech (Berl) 52:137-42. 2007
    ..Results show that the change-point estimates were close to their true values. In contrast, a systematic error of approximately half the change duration occurred when the gradual nature of the signal was neglected...
  92. ncbi Automated gating of flow cytometry data via robust model-based clustering
    Kenneth Lo
    Department of Statistics, University of British Columbia, Vancouver, British Columbia V6T 1Z2, Canada
    Cytometry A 73:321-32. 2008
    ..It tends to give more reproducible results, and helps reduce the significant subjectivity and human time cost encountered in manual gating analysis...
  93. ncbi Image restoration using space-variant Gaussian scale mixtures in overcomplete pyramids
    Jose A Guerrero-Colón
    Department of Computer Science and Artificial Intelligence, Universidad de Granada, Spain
    IEEE Trans Image Process 17:27-41. 2008
    ..Its performance, measured visually and in L2-norm terms, is significantly higher than the original BLS-GSM method, both for denoising and deconvolution...
  94. ncbi Unforced translocation of a polymer chain through a nanopore: the solvent effect
    Dongshan Wei
    Beijing National Laboratory for Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100080, People s Republic of China
    J Chem Phys 126:204901. 2007
    ..The simulation results here also show that the translocation time changes from a wide and asymmetric distribution with a long tail to a narrow and symmetric distribution with the increase of the difference of the solvent qualities...
  95. pmc A novel tensor distribution model for the diffusion-weighted MR signal
    Bing Jian
    Department of Computer and Information Science and Engineering, University of Florida, P O Box 116120, Gainesville, FL 32611, USA
    Neuroimage 37:164-76. 2007
    ..Experimental results on both simulations and real data are presented to demonstrate the robustness and accuracy of the proposed algorithms...
  96. ncbi Numerical solutions for patterns statistics on Markov chains
    Gregory Nuel
    Laboratoire Statistique et Genome, CNRS 8071, INRA 1152, UEVE, Evry, France
    Stat Appl Genet Mol Biol 5:Article26. 2006
    ..genopole.cnrs.fr/spatt) implementing all these methods is then used to compare all these approaches in terms of computational time and reliability in the most complete pattern statistics benchmark available at the present time...
  97. ncbi Estimation of laser beam pointing parameters in the presence of atmospheric turbulence
    Deva K Borah
    Klipsch School of Electrical and Computer Engineering, New Mexico State University, Las Cruces, New Mexico 88003, USA
    Appl Opt 46:6010-8. 2007
    ..However, the ideas can be extended with appropriate pdf models to obtain more accurate results under strong turbulence conditions...
  98. ncbi Technical note: dose-volume histogram analysis in radiotherapy using the Gaussian error function
    James C L Chow
    Department of Radiation Oncology, University of Toronto, Princess Margaret Hospital, University Health Network, Toronto, Ontario, Canada
    Med Phys 35:1398-402. 2008
    ....
  99. ncbi A path algorithm for the support vector domain description and its application to medical imaging
    Karl Sjöstrand
    Informatics and Mathematical Modelling, Technical University of Denmark, Kgs Lyngby, Denmark
    Med Image Anal 11:417-28. 2007
    ....
  100. ncbi Mixtures of Gaussians on tensor fields for DT-MRI segmentation
    Rodrigo de Luis-Garcia
    ETSI Telecomunicacion, University of Valladolid, Valladolid, Spain
    Med Image Comput Comput Assist Interv 10:319-26. 2007
    ..Comparison with a recent and related segmentation approach is favorable to our method, showing its capability for the automatic extraction of anatomical structures in the white matter...
  101. pmc Estimating dynamic models for gene regulation networks
    Jiguo Cao
    Department of Statistics and Actuarial Science, Simon Fraser University, Burnaby, BC V5A1S6, Canada
    Bioinformatics 24:1619-24. 2008
    ..Because some of the parameters involved in these ODEs are unknown, their values need to be inferred from the observed data...

Research Grants62

  1. Biomarkers of olanzapine-induced weight gain in mice
    Patrick F Sullivan; Fiscal Year: 2013
    ..6 kg or nearly 10 percent of initial body weight. The population, however, followed a normal distribution with the upper quartile gaining >20 kg and the lower quartile experiencing no weight gain...
  2. Nurse Practitioners Follow-up: Mobile Technology, Perinatal Outcomes, &Charges
    JEAN L HANNAN; Fiscal Year: 2013
    ..Wilcoxon Signed Rank test, will be used if the assumption of normal distribution is not met. Significant differences in means will support the hypotheses.
  3. CHROMOSOME MOVEMENT IN PROMETAPHASE
    Gary J Gorbsky; Fiscal Year: 2012
    ..The mitotic spindle checkpoint is essential in ensuring the normal distribution of chromosomes...
  4. MODEL OF HYPERCORTISOLISM FOR MAJOR DEPRESSION
    Alan F Schatzberg; Fiscal Year: 2010
    ..Adult females with small hippocampal volumes (i.e., selected from the bottom third of a normal distribution) determined before initiation of the study will respond to repeated exposure to cycles of social isolation-..
  5. Imaging Vascular Phosphatidylethanolamine
    Ming Zhao; Fiscal Year: 2013
    ..3) Determine the normal distribution profile of vascular PE on a tissue level using target-specific MRI;we hypothesize that the level of PE at ..
  6. TAAR1 and the Control of Wakefulness
    Thomas S Kilduff; Fiscal Year: 2013
    ..In the present proposal, we will determine whether endogenous TAAR1 tone contributes to the normal distribution of sleep and wakefulness, the homeostatic response to sleep deprivation, and the response to endogenous and ..
  7. Imaging Individual Differences in Amphetamine Effects
    Tara L White; Fiscal Year: 2010
    ..Sixty participants (half female) will be assessed, and participants will vary along a normal distribution of scores on Tellegen's Agentic Positive Emotionality and Harm Avoidance, the two robust, empirically ..
  8. High-dimensional unsupervised learning, with applications to genomics
    Daniela Witten; Fiscal Year: 2013
    ..The proposed approach involves applying shrinkage penalties to the matrix-variate normal distribution. Aim 3: A tool for the integrative analysis of multiple genomic data types collected on a single set of ..
  9. Lexical and Cognitive Processing in Early Language Delay
    ERICA M ELLIS; Fiscal Year: 2013
    ..diagnostic category but simply refers to infants who have language abilities in the lower end of the normal distribution. Recent work by Dollaghan (2004, 2011) suggests that children with SLI may represent the lower end of a ..
  10. Trigeminal Neuropathic Pain Mechanisms
    Michael Henry; Fiscal Year: 2006
    ..The hypothesis is that there will be a change in the normal distribution of the sodium channel isoforms following injury that correlates with behavioral evidence for altered ..
  11. CYTOSKELETAL PROTEINS IN RETINAL PHOTORECEPTORS
    MICHAEL CHAITIN; Fiscal Year: 1991
    ..Any variations from the normal distribution will be documented...
  12. PIGMENT INFLUENCES ON AUDITORY STRUCTURE & FUNCTION
    JOHN CONLEE; Fiscal Year: 1992
    ..Albinos of a species have a normal distribution of melanocytes which completely lack melanin...
  13. RESPIRATORY ANAPHYLAXIS TO INDUSTRIAL CHEMICALS
    MERYL KAROL; Fiscal Year: 1991
    ..are unrestrained being kept in whole body plethysmographs, assuring normal breathing patterns and thus normal distribution of chemical in the respiratory tract, and no immunologic adjuvants are used to artificially stimulate an ..
  14. MITRAL VALVE REGURGITATION INDUCES STRUCTURAL CHANGES
    Richard Cochran; Fiscal Year: 2000
    ..is affected by disease, the functional anatomy is often altered, the valve becomes regurgitant, and the normal distribution of mechanical stresses is disrupted...
  15. ALCOHOL, APOLIPOPROTEIN-J BIOCHEMISTRY, AND HDL FUNCTION
    Pradeep Ghosh; Fiscal Year: 1999
    ..plasma Apo J levels and its distribution in HDL subspecies and effects of chronic ethanol treatment on the normal distribution profile. 2...
  16. Gene Delivery Vehicles for Cancer Gene Therapy
    Frank Marini; Fiscal Year: 2009
    ..Specific Aim 2: To investigate the tumor targeting ability and normal distribution of MSC in vivo utilizing noninvasive imaging techniques...
  17. EFFECT OF EXERCISE ON BONE MODELING DURING GROWTH
    Louis Draganich; Fiscal Year: 1993
    ..to maintain a uniform distribution of strain at functionally equivalent sites; (2) that disruption of the normal distribution of strain, rather than elevated strain per se, is most critical for eliciting adaptive bone modeling; and (..
  18. SUBSAMPLING METHODS FOR SPATIAL AND LONGITUDINAL DATA
    Michael Sherman; Fiscal Year: 2000
    ..confidence intervals by "mixing" the empirical distribution of the replicates with that of the limiting normal distribution. The methodology is sufficiently general and will be extended to handle other data structures...
  19. IN VITRO CHEMICAL CARCINOGENESIS
    ELLEN BORENFREUND; Fiscal Year: 1980
    ..abnormal cytoplasmic aggregates of intermediate filaments, with murine hepatoma cells which show a normal distribution of intermediate filaments, will be examined in an effort to determine the type and extent of genetic ..
  20. Body Plan Formation in Early Mouse Embryo
    Yusuke Marikawa; Fiscal Year: 2004
    ..We will test this hypothesis by overexpressing Stat3 and Leptin in the mouse egg to disturb their normal distribution. We will also use constitutive active and dominant negative constructs of Stat3 to examine the function of ..
  21. Biomodulation of capecitabine by docetaxel in non-small*
    MIGUEL VILLALONA; Fiscal Year: 2005
    ..in peripheral mononuclear cells will be measured to establish relationships to toxicity within the DPD normal distribution. The proposed research has the potential of identifying a new combination treatment for advanced NSCLC and ..
  22. Molecular Epidemiology of Alcoholism 2- Big Sibships
    Andrew Heath; Fiscal Year: 2007
    ..82) as well as with nicotine dependence (0.72); (iii) a continuous and approximately normal distribution in the population; and (iv) high test-retest reliability (0.74-0.81 retest correlations)...
  23. Increasing the Validity of Client Satisfaction Surveys
    DON SCANDELL; Fiscal Year: 2002
    ..That is, both the ranking task and the open- end questions will result in lower CSQ-8 scores and a more normal distribution. Additionally, it is predicted that this new methodology will result in a stronger association between ..
  24. Molecular Epidemiology of Alcoholism 3 - EDAC Families
    Andrew Heath; Fiscal Year: 2005
    ..82) as well as with nicotine dependence (0.72); a continuous and approximately normal distribution in the population; high test-retest reliability (0.74-0.81 retest correlations)...
  25. Visual and Attentional Processing in Adult Dyslexia
    Jennifer Feeney; Fiscal Year: 2003
    ..a coherent motion detection task, and to select dyslexic readers who demonstrate a deficit compared to the normal distribution. Following the recruitment of matched normal control subjects, the next step will be to assess both groups ..
  26. Epigenesis of Cerebral Asymmetry in Twins
    Mark Eckert; Fiscal Year: 2004
    ..Identifying the relative environmental and genetic contributions to the normal distribution of cerebral asymmetry is a critical step in identifying specific causal factors that facilitate or limit ..
  27. Apoptosis and transport mechanisms in neurodegeneration
    David DeWitt; Fiscal Year: 2002
    ..Nocodozol will be used to disrupt microtubules to possibly restore the normal distribution of organelles...
  28. QUANTITATIVE 2D OXYGEN MAPPING IN TISSUE
    J Randolph; Fiscal Year: 1992
    ..Such instruments could be used to develop understanding of the normal distribution of oxygen in diverse tissues and to understand how the distribution may change during pathological ischemia ..
  29. Delineating the function of PRL-1 in Drosophila.
    LESLIE SAUCEDO; Fiscal Year: 2009
    ..We will also genetically modified dPRL-1 in an attempt to override its normal distribution so that we can definitively determine whether subcellular localization regulates dPRL-1 function...
  30. A statistical learning model for predicting noise-induced hearing loss in humans
    Roger P Hamernik; Fiscal Year: 2010
    ..Statistical learning models will be developed to achieve this goal. ..
  31. Model for prediction of noise-induced hearing loss
    ROGER HAMERNIK; Fiscal Year: 2005
    ..The chinchilla model can be used as a template or a guide for developing a human model possibly from some of the existing human data from which current standards were developed. ..
  32. Quantitative Assessment of Murine Tumors with MicroPET.
    Craig Abbey; Fiscal Year: 2004
    ..The third study proposes a study in which a well-known therapeutic agent, tamoxifen, is introduced. The data from this study will allow evaluation of the magnitude and statistical significance of a therapeutic effect. ..
  33. THE DETERMINANTS OF INFANT MORTALITY: STATISTICAL MODELS
    TIMOTHY GAGE; Fiscal Year: 2009
    ..We will develop and make available programs for conducting Covariate Density Defined mixtures of GLMs. ..
  34. Synchronized Firing in the Retina
    EDUARDO CHICHILNISKY; Fiscal Year: 2009
    ....
  35. Improving the spatial resolution of ultrasonic imaging using coded excitation
    Michael Oelze; Fiscal Year: 2008
    ..Effects of focusing, phase aberration and attenuation on performance of the REC technique will be quantified. [unreadable] [unreadable] [unreadable]..
  36. Statistical Methods in Diagnostic Medicine
    Xiao Hua Zhou; Fiscal Year: 2007
    ..Finally, we will develop general group sequential designs for comparative ROC studies using nonparametrically estimated ROC curves. [unreadable] [unreadable]..
  37. CRCNS: Complete functional characterization of a population of retinal ganglion c
    EDUARDO J CHICHILNISKY; Fiscal Year: 2010
    ..In summary, knowing how the entire retinal network encodes the visual scene in spike trains is a key element in understanding the healthy visual system and designing prosthetic treatments for retinas damaged by disease. ..
  38. PERCEPTUAL MODEL FOR WORKSTATION DISPLAY OPTIMIZATION
    Dev Chakraborty; Fiscal Year: 2003
    ..Also to be generated are iso-contour plots of the effects of common workstation variables on image quality in both tasks. This will allow digital mammography workstations to be more intelligently used. ..
  39. Statistics in Alzheimer's Publications
    Chengjie Xiong; Fiscal Year: 2007
    ..abstract_text> ..
  40. Causal Analysis of Encouragement Design Studies
    Xiao Hua Zhou; Fiscal Year: 2004
    ..In this proposal, we will develop a general statistical methodology for causal treatment analysis of the randomized EDS when data have a complicated structure. ..
  41. Regression Analysis of Health Care Costs
    Xiao Hua Zhou; Fiscal Year: 2004
    ..Furthermore, contributions will be demonstrated in the area of health services research by applying the proposed methods to analyze of total health care costs in four existing datasets. ..
  42. Tumor Diagnosis through Enhanced Ultrasound Imaging
    Michael Oelze; Fiscal Year: 2003
    ..6. Several techniques for combining typical ultrasound images with the quantification of tissue microstructures will be evaluated for facilitation of clinical detection and diagnosis of disease. ..
  43. PERCEPTUAL MODEL FOR WORKSTATION DISPLAY OPTIMIZATION
    Dev Chakraborty; Fiscal Year: 2002
    ..Also to be generated are iso-contour plots of the effects of common workstation variables on image quality in both tasks. This will allow digital mammography workstations to be more intelligently used. ..
  44. Temporal Integration of Acoustic Detail in Speech
    Bob McMurray; Fiscal Year: 2003
    ....
  45. MODELS OF CORTICAL NEURAL CODING OF AUDITORY SPACE
    RICK JENISON; Fiscal Year: 2001
    ..This approach of integrating theoretical modeling with electrophysiological and psychophysical analyses will provide new insights into cortiucal mechanisms underlying spatial hearing and drive new physiological and behavioral studies. ..
  46. ENSEMBLE CODING OF VISUAL INFORMATION IN THE RETINA
    EDUARDO CHICHILNISKY; Fiscal Year: 2004
    ..Aim 3. Does retinal signaling limit accuracy of behavioral and cortical motion sensing? This part will include psychophysical studies as well as correlation with recordings in MT obtained from other investigators. ..
  47. PROTEIN STRUCTURE BY ANALYSIS OF SPIN LABEL INTERACTIONS
    ERIC HUSTEDT; Fiscal Year: 2003
    ..abstract_text> ..
  48. Statistical Methods for Identifying Genes Associated with Diabetes Development
    Yinglei Lai; Fiscal Year: 2007
    ..R-package based computer programs will be developed, tested, documented, and freely distributed to the scientific community. [unreadable] [unreadable] [unreadable]..
  49. Capturing cancer cells with peptide bead technology
    Derick Lau; Fiscal Year: 2003
    ..The development of this technology will greatly enhance our ability of diagnosing malignant pleural effusion, and it will provide a model for capturing and expanding exfoliated malignant cells in other body fluids. ..
  50. REGULATION AND FUNCTION OF MAMMALIAN MYOSIN I
    Mitsuo Ikebe; Fiscal Year: 2002
    ..abstract_text> ..
  51. STATISTICAL METHODS FOR QUANTITATIVE PET
    Richard Leahy; Fiscal Year: 2001
    ..Lesion detection will be studied using data from a realistic breast & thorax phantom and simulated lesions added to human data. Our optimized software will be made available to our collaborators and other interested research sites. ..
  52. MOLECULAR MECHANICS OF FHC & DCM MUTANT ACTOMYOSIN
    David Warshaw; Fiscal Year: 2004
    ..abstract_text> ..
  53. Local field potentials in the basal ganglia
    THOMAS N WICHMANN; Fiscal Year: 2010
    ..Conceivably, such criteria could be used in the next generation of DBS devices to trigger 'on-demand'stimulation. ..
  54. Effects/Prenatal Alcohol Exposure/Dermatoglyphic Traits
    DARRYL HOLMAN; Fiscal Year: 2005
    ..This would enable mapping of the periods of development most sensitive to prenatal alcohol exposure. ..
  55. Pattern Perception Measures for Cochlear-Implant Users
    DONNA NEFF; Fiscal Year: 2006
    ..In the course of completing these aims, the PI will acquire the necessary knowledge, skills, and data for a competitive R21 or R01 application in this area. ..
  56. Regulation of Mammalian Class VI Myosin
    Mitsuo Ikebe; Fiscal Year: 2007
    ..unreadable] [unreadable]..
  57. Functional Imaging of Decision Networks
    VINCENT FERRERA; Fiscal Year: 2008
    ..unreadable] [unreadable] [unreadable]..
  58. Causal Models for CVD Use by Aspirin and Vitamin E in the Women's Health Study
    Nancy Cook; Fiscal Year: 2008
    ..The findings of reduced risk of CVD mortality, however, as well as effects by age, should be explored further to clarify the public health message. [unreadable] [unreadable] [unreadable]..
  59. Mechanisms of Nicotine Dependence in ADHD Adults
    Scott Kollins; Fiscal Year: 2008
    ..Data generated will also lead to subsequent clinical projects to develop more effective interventions for nicotine dependence in this high risk group. [unreadable] [unreadable] [unreadable]..
  60. Epigenetic Chromatin Changes as Melanoma Markers
    Ruth Halaban; Fiscal Year: 2006
    ..Altogether, the results are likely to generate a novel marker(s) that can be used to assess propensity for malignant transformation, tumor progression and/or sensitivity to chemotherapeutic drugs that target chromatin conformation. ..
  61. International Symposium on Biomedical Imaging
    Richard Leahy; Fiscal Year: 2004
    ..Finally we will plan to provide a number of passes for students and postdocs to attend the short courses on the first morning of the meeting. ..
  62. NEW FUNCTIONAL MODELS FOR BIOMEDICAL DATA
    Wensheng Guo; Fiscal Year: 2009
    ..The proposed methods are motivated by and will be applied to the clinical studies that the principal investigator is directly or indirectly involved. ..