Jonathan Taylor

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. ncbi request reprint The 'miss rate' for the analysis of gene expression data
    Jonathan Taylor
    Department of Statistics, Stanford University, Stanford, CA 94305, USA
    Biostatistics 6:111-7. 2005
  2. pmc HIV-1 protease mutations and protease inhibitor cross-resistance
    Soo Yon Rhee
    Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, California 94305, USA
    Antimicrob Agents Chemother 54:4253-61. 2010
  3. pmc International cohort analysis of the antiviral activities of zidovudine and tenofovir in the presence of the K65R mutation in reverse transcriptase
    Philip M Grant
    Division of Infectious Diseases and Geographic Medicine, Stanford University, 300 Pasteur Drive, S 101, Stanford, CA 94305 5107, USA
    Antimicrob Agents Chemother 54:1520-5. 2010
  4. doi request reprint Predictive value of HIV-1 genotypic resistance test interpretation algorithms
    Soo Yon Rhee
    Division of Infectious Diseases, Dept of Medicine, Stanford University, Stanford, CA 94305, USA
    J Infect Dis 200:453-63. 2009
  5. doi request reprint Maintaining reduced viral fitness and CD4 response in HIV-infected patients with viremia receiving a boosted protease inhibitor
    Philip Grant
    Division of Infectious Diseases and Geographic Medicine, Stanford University, Palo Alto, California 94305 5107, USA
    Clin Infect Dis 48:680-2. 2009
  6. ncbi request reprint Distributed neural representation of expected value
    Brian Knutson
    Department of Psychology, Stanford University, Stanford, California 94305, USA
    J Neurosci 25:4806-12. 2005
  7. pmc Comparison of the precision and sensitivity of the Antivirogram and PhenoSense HIV drug susceptibility assays
    Jie Zhang
    Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, CA 94305, USA
    J Acquir Immune Defic Syndr 38:439-44. 2005
  8. pmc Evolution of resistance to drugs in HIV-1-infected patients failing antiretroviral therapy
    Rami Kantor
    Division of Infectious Diseases, Center for AIDS Research, Stanford University, Stanford, California, USA
    AIDS 18:1503-11. 2004
  9. pmc Mutation patterns and structural correlates in human immunodeficiency virus type 1 protease following different protease inhibitor treatments
    Thomas D Wu
    Department of Biochemistry, Stanford University, Stanford, California 94305, USA
    J Virol 77:4836-47. 2003
  10. ncbi request reprint 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

Detail Information

Publications16

  1. ncbi request reprint The 'miss rate' for the analysis of gene expression data
    Jonathan Taylor
    Department of Statistics, Stanford University, Stanford, CA 94305, USA
    Biostatistics 6:111-7. 2005
    ..The false discovery rate has become a popular measure in this setting. Here we discuss a complementary measure, the 'miss rate', and show how to estimate it in practice...
  2. pmc HIV-1 protease mutations and protease inhibitor cross-resistance
    Soo Yon Rhee
    Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, California 94305, USA
    Antimicrob Agents Chemother 54:4253-61. 2010
    ....
  3. pmc International cohort analysis of the antiviral activities of zidovudine and tenofovir in the presence of the K65R mutation in reverse transcriptase
    Philip M Grant
    Division of Infectious Diseases and Geographic Medicine, Stanford University, 300 Pasteur Drive, S 101, Stanford, CA 94305 5107, USA
    Antimicrob Agents Chemother 54:1520-5. 2010
    ..In the presence of K65R, zidovudine and tenofovir are associated with similar reductions in HIV RNA levels. Given its tolerability, tenofovir may be the preferred agent over zidovudine even in the presence of the K65R mutation...
  4. doi request reprint Predictive value of HIV-1 genotypic resistance test interpretation algorithms
    Soo Yon Rhee
    Division of Infectious Diseases, Dept of Medicine, Stanford University, Stanford, CA 94305, USA
    J Infect Dis 200:453-63. 2009
    ..Multiple drug-resistance interpretation algorithms have been developed, but their predictive value has rarely been evaluated using contemporary clinical data sets...
  5. doi request reprint Maintaining reduced viral fitness and CD4 response in HIV-infected patients with viremia receiving a boosted protease inhibitor
    Philip Grant
    Division of Infectious Diseases and Geographic Medicine, Stanford University, Palo Alto, California 94305 5107, USA
    Clin Infect Dis 48:680-2. 2009
    ....
  6. ncbi request reprint Distributed neural representation of expected value
    Brian Knutson
    Department of Psychology, Stanford University, Stanford, California 94305, USA
    J Neurosci 25:4806-12. 2005
    ....
  7. pmc Comparison of the precision and sensitivity of the Antivirogram and PhenoSense HIV drug susceptibility assays
    Jie Zhang
    Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, CA 94305, USA
    J Acquir Immune Defic Syndr 38:439-44. 2005
    ..Although 2 widely used susceptibility assays have been developed, their precision and sensitivity have not been assessed...
  8. pmc Evolution of resistance to drugs in HIV-1-infected patients failing antiretroviral therapy
    Rami Kantor
    Division of Infectious Diseases, Center for AIDS Research, Stanford University, Stanford, California, USA
    AIDS 18:1503-11. 2004
    ..The frequency with which new drug-resistance mutations (DRM) developed and their potential consequences in patients continuing unchanged treatment despite persistent viremia were assessed...
  9. pmc Mutation patterns and structural correlates in human immunodeficiency virus type 1 protease following different protease inhibitor treatments
    Thomas D Wu
    Department of Biochemistry, Stanford University, Stanford, California 94305, USA
    J Virol 77:4836-47. 2003
    ..The presence of mutational clusters provides insight into the complex mutational patterns required for HIV-1 protease inhibitor resistance...
  10. ncbi request reprint 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
    ....
  11. pmc HIV-1 Protease and reverse-transcriptase mutations: correlations with antiretroviral therapy in subtype B isolates and implications for drug-resistance surveillance
    Soo Yon Rhee
    Division of Infectious Diseases, Department of Medicine, Stanford University, CA 94301, USA
    J Infect Dis 192:456-65. 2005
    ..In contrast, nonpolymorphic treatment-associated mutations may be more sensitive and specific markers of transmitted HIV-1 drug resistance...
  12. pmc Genotypic predictors of human immunodeficiency virus type 1 drug resistance
    Soo Yon Rhee
    Division of Infectious Diseases, Department of Medicine, Stanford University, Stanford, CA 94305, USA
    Proc Natl Acad Sci U S A 103:17355-60. 2006
    ..Mutation regression coefficients showed that, within a drug class, cross-resistance patterns differ for different mutation subsets and that cross-resistance has been underestimated...
  13. pmc Extended spectrum of HIV-1 reverse transcriptase mutations in patients receiving multiple nucleoside analog inhibitors
    Matthew J Gonzales
    Division of Infectious Diseases, Department of Medicine, Stanford University, CA, USA
    AIDS 17:791-9. 2003
    ..To characterize reverse transcriptase (RT) mutations by their association with extent of nucleoside RT inhibitor (NRTI) therapy. To identify mutational clusters in RT sequences from persons receiving multiple NRTI...
  14. ncbi request reprint A tail strength measure for assessing the overall univariate significance in a dataset
    Jonathan Taylor
    Department of Statistics, Stanford University, Stanford, CA 94305, USA
    Biostatistics 7:167-81. 2006
    ..It also has a simple relationship to the false discovery rate of the collection of tests. We derive the asymptotic distribution of the tail strength measure, and illustrate its use on a number of real datasets...
  15. pmc Lack of detectable human immunodeficiency virus type 1 superinfection during 1072 person-years of observation
    Matthew J Gonzales
    Department of Medicine Division of Infectious Diseases, Stanford University, Stanford, USA
    J Infect Dis 188:397-405. 2003
    ..Although HIV-1 PR and RT genes from treated persons may become highly divergent, these changes usually are the result of sequence evolution, rather than superinfection...
  16. ncbi request reprint Statistical mapping analysis of lesion location and neurological disability in multiple sclerosis: application to 452 patient data sets
    Arnaud Charil
    McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Canada
    Neuroimage 19:532-44. 2003
    ..This study demonstrates for the first time a relationship between the site of lesions and the type of disability in large scale MRI data set in MS...