Transcriptomics Integration

Transcriptomics Integration is a multi-omics data integration approach that specifically incorporates transcript-level molecular profiles to elucidate regulatory mechanisms and biological pathways by aligning and analyzing gene expression data with other omics layers.

230

Publications

15.2K

Citations

1.7K

Authors

610

Institutions

Publications per year

2017–2026

156

Authors

1.7K

  1. HE
    Heather E. Wheeler

    University of Chicago, United States

    3 publications · 530 citations

    3

    h-index

  2. K
    Sun Kim

    Seoul National University, South Korea

    2 publications · 45 citations

    3

    h-index

  3. AB
    Alvaro Barbeira

    University of Chicago, United States

    3 publications · 530 citations

    3

    h-index

  4. HK
    Hae Kyung Im

    University of Chicago, United States

    3 publications · 530 citations

    3

    h-index

  5. MR
    Martin Ringwald

    Jackson Laboratory, United States

    2 publications · 247 citations

    2

    h-index

1–5 of 1.7K

Venues

  1. BMC Bioinformatics

    13 publications · 567 citations

    12

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 10 publications · 253 citations

    11

    h-index

  3. Bioinformatics

    12 publications · 575 citations

    11

    h-index

  4. Nucleic Acids Research

    10 publications · 1.7K citations

    10

    h-index

  5. Genome biology

    7 publications · 887 citations

    7

    h-index

1–5