Joel T Dudley

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. ncbi Translational bioinformatics in the cloud: an affordable alternative
    Joel T Dudley
    Program in Biomedical Informatics, Stanford University School of Medicine, 251 Campus Drive, Stanford, CA 94305, USA
    Genome Med 2:51. 2010
  2. ncbi FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease
    Rong Chen
    Stanford Center for Biomedical Informatics Research, 251 Cmpus Drive, Stanford, CA 94305, USA
    Genome Biol 9:R170. 2008
  3. ncbi Computational prediction and experimental validation associating FABP-1 and pancreatic adenocarcinoma with diabetes
    Ravi N Sharaf
    Department of Gastroenterology and Hepatology, Stanford University School of Medicine, Alway Building, Room M211, 300 Pasteur Drive, MC 5187, Stanford, CA 94305 5187, USA
    BMC Gastroenterol 11:5. 2011
  4. ncbi An integrative method for scoring candidate genes from association studies: application to warfarin dosing
    Nicholas P Tatonetti
    Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, CA, USA
    BMC Bioinformatics 11:S9. 2010
  5. ncbi Latent physiological factors of complex human diseases revealed by independent component analysis of clinarrays
    David P Chen
    Program in Biomedical Informatics, Stanford University School of Medicine, Stanford, CA 94305, USA
    BMC Bioinformatics 11:S4. 2010
  6. ncbi Content-based microarray search using differential expression profiles
    Jesse M Engreitz
    Department of Bioengineering, Stanford University School of Medicine, CA, USA
    BMC Bioinformatics 11:603. 2010

Collaborators

  • Atul J Butte
  • Rong Chen
  • Ravi N Sharaf
  • Jesse M Engreitz
  • David P Chen
  • Nicholas P Tatonetti
  • Russ B Altman
  • Kelli D Montgomery
  • Reetesh Pai
  • Pankaj J Pasricha
  • Rahul Thathoo
  • Alexander A Morgan
  • Hersh Sagreiya
  • Li Li
  • Alex A Morgan
  • Annie P Chiang
  • Tarangini Deshpande
  • Keiichi Kodama

Detail Information

Publications6

  1. ncbi Translational bioinformatics in the cloud: an affordable alternative
    Joel T Dudley
    Program in Biomedical Informatics, Stanford University School of Medicine, 251 Campus Drive, Stanford, CA 94305, USA
    Genome Med 2:51. 2010
    ....
  2. ncbi FitSNPs: highly differentially expressed genes are more likely to have variants associated with disease
    Rong Chen
    Stanford Center for Biomedical Informatics Research, 251 Cmpus Drive, Stanford, CA 94305, USA
    Genome Biol 9:R170. 2008
    ..We propose to use the more than 200,000 microarray studies in the Gene Expression Omnibus to systematically prioritize candidate SNPs from GWASs...
  3. ncbi Computational prediction and experimental validation associating FABP-1 and pancreatic adenocarcinoma with diabetes
    Ravi N Sharaf
    Department of Gastroenterology and Hepatology, Stanford University School of Medicine, Alway Building, Room M211, 300 Pasteur Drive, MC 5187, Stanford, CA 94305 5187, USA
    BMC Gastroenterol 11:5. 2011
    ..We identified fatty acid binding protein-1 (FABP-1) as one of several candidates. The primary aim of this pilot study was to experimentally validate the predicted association between FABP-1 with PaC and PaC with diabetes...
  4. ncbi An integrative method for scoring candidate genes from association studies: application to warfarin dosing
    Nicholas P Tatonetti
    Biomedical Informatics Training Program, Stanford University School of Medicine, Stanford, CA, USA
    BMC Bioinformatics 11:S9. 2010
    ..We then define a summary score for each gene based on allele frequencies and train linear and logistic regression classifiers to predict drug response phenotypes...
  5. ncbi Latent physiological factors of complex human diseases revealed by independent component analysis of clinarrays
    David P Chen
    Program in Biomedical Informatics, Stanford University School of Medicine, Stanford, CA 94305, USA
    BMC Bioinformatics 11:S4. 2010
    ..Knowledge of these factors could be used to improve assessment of disease severity and help to refine strategies for diagnosis and monitoring disease progression...
  6. ncbi Content-based microarray search using differential expression profiles
    Jesse M Engreitz
    Department of Bioengineering, Stanford University School of Medicine, CA, USA
    BMC Bioinformatics 11:603. 2010
    ....