Single-cell Isoform Expression Analysis

Single-Cell Isoform Expression Analysis is a computational and experimental framework that characterizes the repertoire and abundance of alternatively spliced mRNA isoforms at the resolution of individual cells, enabling the study of isoform-level gene expression heterogeneity within complex tissues.

45

Publications

5.3K

Citations

368

Authors

144

Institutions

Publications per year

2017–2026

35

Authors

368

  1. AJ
    Anoushka Joglekar

    Cornell University, United States

    5 publications · 754 citations

    5

    h-index

  2. HT
    Hagen Tilgner

    Cornell University, United States

    5 publications · 754 citations

    5

    h-index

  3. ME
    M. Elizabeth Ross

    Cornell University, United States

    4 publications · 726 citations

    4

    h-index

  4. OF
    Olivier Fédrigo

    Rockefeller University, United States

    4 publications · 726 citations

    4

    h-index

  5. CV
    Christopher Vollmers

    University of California, Santa Cruz, United States

    3 publications · 529 citations

    3

    h-index

1–5 of 368

Venues

  1. Bioinformatics

    5 publications · 126 citations

    5

    h-index

  2. Nature Communications

    4 publications · 757 citations

    4

    h-index

  3. Genome biology

    3 publications · 171 citations

    3

    h-index

  4. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 3 publications · 67 citations

    3

    h-index

  5. Nature

    2 publications · 1.4K citations

    2

    h-index

1–5