DELVE: feature selection for preserving biological trajectories in single-cell data
- 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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DELVE: feature selection for preserving biological trajectories in single-cell data ; volume:15 ; number:1 ; day:29 ; month:3 ; year:2024 ; pages:1-26 ; date:12.2024
Nature Communications ; 15, Heft 1 (29.3.2024), 1-26, 12.2024
- Creator
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Ranek, Jolene S.
Stallaert, Wayne
Milner, J. Justin
Redick, Margaret
Wolff, Samuel C.
Beltran, Adriana S.
Stanley, Natalie
Purvis, Jeremy E.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1038/s41467-024-46773-z
- URN
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urn:nbn:de:101:1-2406170946217.934468521887
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:48 AM CEST
Data provider
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Associated
- Ranek, Jolene S.
- Stallaert, Wayne
- Milner, J. Justin
- Redick, Margaret
- Wolff, Samuel C.
- Beltran, Adriana S.
- Stanley, Natalie
- Purvis, Jeremy E.
- SpringerLink (Online service)
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Reconstruction of complex single-cell trajectories using CellRouter
Associating transcription factors to single-cell trajectories with DREAMIT
Publisher Correction: Bayesian model selection reveals biological origins of zero inflation in single-cell transcriptomics
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