Integrative Clustering

Integrative Clustering is a computational method that partitions multi-omic datasets into coherent subgroups by simultaneously accounting for interdependencies across distinct molecular data types to reveal biologically meaningful clusters not discernible from individual omics layers alone.

52

Publications

6.2K

Citations

282

Authors

136

Institutions

Publications per year

2017–2026

36

Authors

282

  1. RS
    Ronglai Shen

    Memorial Sloan Kettering Cancer Center, United States

    4 publications · 1.9K citations

    4

    h-index

  2. QM
    Qianxing Mo

    Baylor College of Medicine, United States

    4 publications · 993 citations

    4

    h-index

  3. CC
    Carlos Caldas

    University of Cambridge, United Kingdom

    3 publications · 487 citations

    3

    h-index

  4. AB
    Adam B. Olshen

    University of California, San Francisco, United States

    3 publications · 2K citations

    3

    h-index

  5. BL
    Brooke L. Fridley

    Mayo Clinic, United States

    3 publications · 332 citations

    3

    h-index

1–5 of 282

Venues

  1. Bioinformatics

    6 publications · 1.8K citations

    6

    h-index

  2. Briefings in Bioinformatics

    3 publications · 69 citations

    3

    h-index

  3. BMC Genomics

    2 publications · 376 citations

    2

    h-index

  4. Clinical Cancer Research

    2 publications · 348 citations

    2

    h-index

  5. PubMed

    Repository · 2 publications · 61 citations

    2

    h-index

1–5