Differential Splicing Analysis

Differential Splicing Analysis is a computational method that identifies statistically significant changes in alternative splicing patterns between biological conditions by quantifying and comparing isoform usage across RNA-seq datasets.

642

Publications

98.8K

Citations

4.3K

Authors

1.1K

Institutions

Publications per year

2017–2026

211

Authors

4.3K

  1. YX
    Yi Xing

    University of Science and Technology Beijing, China

    9 publications · 3.8K citations

    9

    h-index

  2. JW
    Juw Won Park

    University of Louisville, United States

    6 publications · 3.7K citations

    6

    h-index

  3. SS
    Shihao Shen

    University of Iowa, United States

    6 publications · 3.6K citations

    6

    h-index

  4. GR
    Gregory R. Grant

    University of Pennsylvania, United States

    4 publications · 225 citations

    4

    h-index

  5. XW
    Xi Wang

    Air Force Medical University, China

    4 publications · 288 citations

    4

    h-index

1–5 of 4.3K

Venues

  1. Nucleic Acids Research

    38 publications · 46.5K citations

    27

    h-index

  2. Journal of Biological Chemistry

    JBC · 29 publications · 2.7K citations

    27

    h-index

  3. Proceedings of the National Academy of Sciences

    PNAS · 19 publications · 4.8K citations

    19

    h-index

  4. BMC Genomics

    21 publications · 1.7K citations

    19

    h-index

  5. PLoS ONE

    20 publications · 880 citations

    17

    h-index

1–5