Concepedia

Time-course Expression Analysis

Time-Course Expression Analysis is a computational and statistical approach in transcriptomics that characterizes the dynamic changes in gene expression levels over a series of time points following stress exposure, distinguishing itself by its emphasis on temporal resolution and trajectory modeling to capture the kinetics of stress-responsive genes.

411

Publications

23.5K

Citations

2.2K

Authors

766

Institutions

Publications per year

2017–2026

100

Parents

Publications

411

A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data

Min Zou, Suzanne D. Conzen · Bioinformatics · 2004 · 600 citations

, , +17

Significance analysis of time course microarray experiments

John D. Storey, Wenzhong Xiao, Jeffrey T. Leek et al. · Proceedings of the National Academy of Sciences · 2005 · 587 citations · Full text

, , +15

maSigPro: a method to identify significantly differential expression profiles in time-course microarray experiments

Ana Conesa, María José Nueda, Alberto Ferrer et al. · Bioinformatics · 2006 · 504 citations · Full text

, , +16

Inference of gene regulatory networks and compound mode of action from time course gene expression profiles

Mukesh Bansal, Giusy Della Gatta, Diego di Bernardo · Bioinformatics · 2006 · 389 citations · Full text

, , +14

Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series

María José Nueda, Sonia Tarazona, Ana Conesa · Bioinformatics · 2014 · 389 citations · Full text

, , +15

1–5 of 411

Authors

2.2K

  1. RY
    Rui Yamaguchi

    The University of Tokyo, Japan

    5 publications · 204 citations

    5

    h-index

  2. ZB
    Ziv Bar‐Joseph

    Carnegie Mellon University, United States

    5 publications · 561 citations

    5

    h-index

  3. HL
    Hongzhe Li

    University of Pennsylvania, United States

    4 publications · 683 citations

    4

    h-index

  4. SI
    Seiya Imoto

    The University of Tokyo, Japan

    4 publications · 190 citations

    4

    h-index

  5. RW
    Ronald W. Davis

    Stanford University, United States

    4 publications · 678 citations

    4

    h-index

1–5 of 2.2K

Institutions

766

  1. The University of Tokyo

    Tokyo, Japan

    14 h-index

    69 publications

    4.6K citations

  2. Chinese Academy of Sciences

    Beijing, China

    13 h-index

    69 publications

    2.6K citations

  3. Inserm

    Paris, France

    10 h-index

    34 publications

    2.1K citations

  4. Stanford University

    Stanford, United States

    10 h-index

    29 publications

    4.7K citations

  5. Centre National de la Recherche Scientifique

    Paris, France

    10 h-index

    35 publications

    1.5K citations

  6. Texas A&M University

    College Station, United States

    7 h-index

    16 publications

    321 citations

  7. University of California, Davis

    Davis, United States

    7 h-index

    10 publications

    1.2K citations

  8. University of Chinese Academy of Sciences

    Beijing, China

    7 h-index

    28 publications

    861 citations

1–8 of 766

Venues

  1. PLoS ONE

    29 publications · 1.9K citations

    23

    h-index

  2. Bioinformatics

    27 publications · 3.8K citations

    20

    h-index

  3. BMC Bioinformatics

    26 publications · 972 citations

    19

    h-index

  4. Scientific Reports

    17 publications · 615 citations

    15

    h-index

  5. BMC Genomics

    10 publications · 589 citations

    10

    h-index

1–5