Isoform Expression Clustering

Isoform Expression Clustering is a computational method that partitions gene expression profiles at the isoform level into coherent groups based on similarities in expression patterns across biological conditions or samples.

41

Publications

1.8K

Citations

234

Authors

104

Institutions

Publications per year

2017–2026

10

Authors

234

  1. ST
    Sonia Tarazona

    Universitat Politècnica de València, Spain

    2 publications · 44 citations

    2

    h-index

  2. LZ
    Liang Zhu

    Second Xiangya Hospital of Central South University, China

    2 publications · 68 citations

    2

    h-index

  3. KJ
    Karel J. Lambert

    University of California San Diego, United States

    2 publications · 68 citations

    2

    h-index

  4. SC
    Shu Chien

    University of California San Diego, United States

    2 publications · 68 citations

    2

    h-index

  5. AC
    Ana Conesa

    Centro de Investigacion Principe Felipe, Spain

    2 publications · 44 citations

    2

    h-index

1–5 of 234

Venues

  1. Journal of Applied Physiology

    3 publications · 99 citations

    3

    h-index

  2. Gene

    2 publications · 154 citations

    2

    h-index

  3. Bioinformatics

    2 publications · 53 citations

    2

    h-index

  4. Blood

    2 publications · 68 citations

    2

    h-index

  5. Journal of Neurochemistry

    JNC · 2 publications · 109 citations

    2

    h-index

1–5