Condition-specific Co-expression Analysis

Condition-Specific Co-Expression Analysis is a gene co-expression analysis approach that identifies context-dependent gene interaction patterns by restricting the analysis to transcriptomic data derived from a specific biological state or experimental condition, thereby distinguishing itself from global co-expression methods through its focus on condition-restricted regulatory relationships.

13

Publications

1.1K

Citations

72

Authors

35

Institutions

Publications per year

2017–2026

6

Authors

72

  1. KH
    Kun Huang

    The Ohio State University, United States

    2 publications · 53 citations

    2

    h-index

  2. ZH
    Zhi Han

    Indiana University – Purdue University Indianapolis, United States

    2 publications · 53 citations

    2

    h-index

  3. YL
    Ya-Hsin Liu

    European Molecular Biology Laboratory, Germany

    1 publications · 465 citations

    1

    h-index

  4. NS
    Nathan S. Abell

    Stanford University, United States

    1 publications · 30 citations

    1

    h-index

  5. TU
    Thomas Ulas

    University of Bonn, Germany

    1 publications · 20 citations

    1

    h-index

1–5 of 72

Venues

  1. Bioinformatics

    4 publications · 395 citations

    4

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  2. Pattern Recognition

    1 publications · 11 citations

    1

    h-index

  3. Nucleic Acids Research

    1 publications · 465 citations

    1

    h-index

  4. Communications Biology

    1 publications · 30 citations

    1

    h-index

  5. BMC Genomics

    1 publications · 18 citations

    1

    h-index

1–5