Transcriptome-phenotype Correlation Analysis

Transcriptome-Phenotype Correlation Analysis is a computational systems biology approach that identifies and quantifies associations between global gene expression profiles and observable phenotypic traits to infer functional genomic mechanisms underlying microbial physiological states.

114

Publications

5.3K

Citations

898

Authors

371

Institutions

Publications per year

2017–2026

65

Authors

898

  1. JH
    Jeroen Hugenholtz

    Nederlands Instituut Voor Zuivel Oonderzoek, Netherlands

    2 publications · 48 citations

    2

    h-index

  2. LS
    Lisa S. Hancox

    University of Iowa, United States

    2 publications · 282 citations

    2

    h-index

  3. SA
    Sacha A. F. T. van Hijum

    Radboud University Nijmegen, Netherlands

    2 publications · 48 citations

    2

    h-index

  4. GS
    Gregory S. Hageman

    University of Utah, United States

    2 publications · 282 citations

    2

    h-index

  5. PS
    Pascual Sánchez‐Juan

    Marqués de Valdecilla University Hospital, Spain

    2 publications · 83 citations

    2

    h-index

1–5 of 898

Venues

  1. PLoS ONE

    9 publications · 213 citations

    9

    h-index

  2. Proceedings of the National Academy of Sciences

    PNAS · 5 publications · 300 citations

    5

    h-index

  3. Frontiers in Immunology

    5 publications · 143 citations

    5

    h-index

  4. Scientific Reports

    5 publications · 426 citations

    5

    h-index

  5. BMC Genomics

    4 publications · 197 citations

    4

    h-index

1–5