Rosace: a robust deep mutational scanning analysis framework employing position and mean-variance shrinkage
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Rosace: a robust deep mutational scanning analysis framework employing position and mean-variance shrinkage ; volume:25 ; number:1 ; day:24 ; month:5 ; year:2024 ; pages:1-22 ; date:12.2024
Genome biology ; 25, Heft 1 (24.5.2024), 1-22, 12.2024
- Creator
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Rao, Jingyou
Xin, Ruiqi
Macdonald, Christian
Howard, Matthew K.
Estevam, Gabriella O.
Yee, Sook Wah
Wang, Mingsen
Fraser, James S.
Coyote-Maestas, Willow
Pimentel, Harold
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s13059-024-03279-7
- URN
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urn:nbn:de:101:1-2408051108565.949776101532
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:51 AM CEST
Data provider
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Associated
- Rao, Jingyou
- Xin, Ruiqi
- Macdonald, Christian
- Howard, Matthew K.
- Estevam, Gabriella O.
- Yee, Sook Wah
- Wang, Mingsen
- Fraser, James S.
- Coyote-Maestas, Willow
- Pimentel, Harold
- SpringerLink (Online service)
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Comprehensive mutational scanning of EGFR reveals TKI sensitivities of extracellular domain mutants
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Mutational scanning of CLOCK exon 19 transactivation domain
A statistical framework for analyzing deep mutational scanning data
Updated benchmarking of variant effect predictors using deep mutational scanning
Optimization of the antimicrobial peptide Bac7 by deep mutational scanning
Variant effect predictions capture some aspects of deep mutational scanning experiments
Correction to: A statistical framework for analyzing deep mutational scanning data
On Reverse Shrinkage Effects and Shrinkage Overshoot
Mutational scanning pinpoints distinct binding sites of key ATGL regulators in lipolysis
Comprehensive mutational scanning of EGFR reveals TKI sensitivities of extracellular domain mutants
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