Time-series Co-expression Analysis

Time-Series Co-Expression Analysis is a gene co-expression analysis method that identifies groups of genes with coordinated expression patterns across sequential time points by integrating temporal dynamics into the inference of co-expression relationships.

37

Publications

1.2K

Citations

201

Authors

104

Institutions

Publications per year

2017–2026

10

Authors

201

  1. EW
    Edgar Wingender

    University of Göttingen, Germany

    2 publications · 74 citations

    2

    h-index

  2. AM
    Anirban Mukhopadhyay

    University of Kalyani, India

    2 publications · 74 citations

    2

    h-index

  3. MH
    Martin Haubrock

    University of Göttingen, Germany

    2 publications · 74 citations

    2

    h-index

  4. KT
    Kian‐Lee Tan

    National University of Singapore, Singapore

    2 publications · 110 citations

    2

    h-index

  5. AB
    Anirban Bhar

    University of Göttingen, Germany

    2 publications · 74 citations

    2

    h-index

1–5 of 201

Venues

  1. Bioinformatics

    6 publications · 295 citations

    6

    h-index

  2. BMC Bioinformatics

    6 publications · 179 citations

    6

    h-index

  3. BMC Genomics

    3 publications · 105 citations

    3

    h-index

  4. International Journal of Molecular Sciences

    IJMS · 2 publications · 39 citations

    2

    h-index

  5. International Journal of Neural Systems

    2 publications · 29 citations

    2

    h-index

1–5