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.
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2017–2026
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Benchmarking atlas-level data integration in single-cell genomics
Malte D. Luecken, Maren Büttner, Kridsadakorn Chaichoompu et al. · Nature Methods · 2021 · 1.4K citations · Full text
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Helmholtz Zentrum München
Munich, Germany
2 h-index
17 publications
13.7K citations
University of Münster
Münster, Germany
2 h-index
3 publications
1.7K citations
Technical University of Munich
Munich, Germany
2 h-index
5 publications
4.5K citations

Neuroscience Research Australia
Sydney, Australia
1 h-index
1 publications
116 citations
Tsinghua University
Beijing, China
1 h-index
9 publications
225 citations

Johns Hopkins University
Baltimore, United States
1 h-index
1 publications
538 citations

Royal Brisbane and Women's Hospital
Brisbane, Australia
1 h-index
1 publications
116 citations
Seoul National University
Seoul, South Korea
1 h-index
2 publications
72 citations
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2 publications · 164 citations
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2 publications · 553 citations
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Repository · 2 publications · 157 citations
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1 publications · 17 citations
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1 publications · 25 citations
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