Remove Unwanted Variation

Remove Unwanted Variation is a computational method designed to adjust high-dimensional biological data by separating biologically meaningful signals from technical artifacts, batch effects, and other non-biological sources of variation while preserving the underlying biological heterogeneity of interest.

88

Publications

37.2K

Citations

386

Authors

217

Institutions

Publications per year

2017–2026

42

Authors

386

  1. TP
    Terence P. Speed

    Walter and Eliza Hall Institute of Medical Research, Australia

    14 publications · 1.8K citations

    13

    h-index

  2. JA
    Johann A. Gagnon-Bartsch

    University of Michigan, United States

    8 publications · 1.2K citations

    8

    h-index

  3. KD
    Kasper D. Hansen

    Johns Hopkins University, United States

    4 publications · 1.1K citations

    4

    h-index

  4. SC
    Stephanie C. Hicks

    Johns Hopkins University, United States

    3 publications · 297 citations

    3

    h-index

  5. RA
    Rafael A. Irizarry

    Johns Hopkins University, United States

    3 publications · 297 citations

    3

    h-index

1–5 of 386

Venues

  1. BMC Bioinformatics

    9 publications · 1K citations

    9

    h-index

  2. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 6 publications · 173 citations

    6

    h-index

  3. Bioinformatics

    6 publications · 9.9K citations

    6

    h-index

  4. Briefings in Bioinformatics

    5 publications · 618 citations

    5

    h-index

  5. Biostatistics

    4 publications · 795 citations

    4

    h-index

1–5