Isoform Quantification

Isoform Quantification is the computational analysis task that determines the abundance levels of alternatively spliced transcript variants from RNA sequencing data, distinguishing it from gene-level or exon-level quantification by resolving expression at the full-length mRNA isoform level.

414

Publications

46.7K

Citations

2.3K

Authors

755

Institutions

Publications per year

2017–2026

94

Authors

2.3K

  1. WH
    Wing Hung Wong

    Stanford University, United States

    5 publications · 1.2K citations

    5

    h-index

  2. HJ
    Hui Jiang

    University of Michigan, United States

    4 publications · 786 citations

    4

    h-index

  3. ML
    Mingyao Li

    University of Pennsylvania, United States

    4 publications · 157 citations

    4

    h-index

  4. BA
    Brian A. Williams

    California Institute of Technology, United States

    3 publications · 17.1K citations

    3

    h-index

  5. BZ
    Baohong Zhang

    Pfizer (United States), United States

    3 publications · 255 citations

    3

    h-index

1–5 of 2.3K

Venues

  1. Bioinformatics

    28 publications · 4.6K citations

    21

    h-index

  2. PLoS ONE

    12 publications · 474 citations

    12

    h-index

  3. Nucleic Acids Research

    11 publications · 805 citations

    11

    h-index

  4. BMC Bioinformatics

    11 publications · 406 citations

    11

    h-index

  5. Genome biology

    11 publications · 1.2K citations

    11

    h-index

1–5