Highly Variable Gene Selection

Highly Variable Gene Selection is a computational method in single-cell RNA sequencing analysis that identifies genes exhibiting greater cell-to-cell expression variability than expected under a null model, thereby prioritizing genes likely to contribute to biological heterogeneity among individual cells.

17

Publications

2.9K

Citations

102

Authors

66

Institutions

Publications per year

2017–2026

12

Authors

102

  1. MB
    Maren Büttner

    Helmholtz Zentrum München, Germany

    2 publications · 1.5K citations

    2

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  2. MD
    Malte D. Luecken

    Helmholtz Zentrum München, Germany

    2 publications · 1.5K citations

    2

    h-index

  3. LZ
    Luke Zappia

    Helmholtz Zentrum München, Germany

    2 publications · 1.5K citations

    2

    h-index

  4. MD
    Martin Dugas

    University of Münster, Germany

    2 publications · 1.5K citations

    2

    h-index

  5. DS
    Daniel Strobl

    Helmholtz Zentrum München, Germany

    2 publications · 1.5K citations

    2

    h-index

1–5 of 102

Venues

  1. Computers in Biology and Medicine

    2 publications · 164 citations

    2

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  2. Genome biology

    2 publications · 553 citations

    2

    h-index

  3. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 2 publications · 157 citations

    2

    h-index

  4. Bioinformation

    1 publications · 17 citations

    1

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  5. 1

    h-index

1–5