DrivAER: Identification of driving transcriptional programs in single-cell RNA sequencing data

BACKGROUND: Single-cell RNA sequencing (scRNA-seq) unfolds complex transcriptomic datasets into detailed cellular maps. Despite recent success, there is a pressing need for specialized methods tailored towards the functional interpretation of these cellular maps. FINDINGS: Here, we present DrivAER,...

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Detalles Bibliográficos
Autores principales: Simon, Lukas M, Yan, Fangfang, Zhao, Zhongming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727875/
https://www.ncbi.nlm.nih.gov/pubmed/33301553
http://dx.doi.org/10.1093/gigascience/giaa122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727875/
https://www.ncbi.nlm.nih.gov/pubmed/33301553
http://dx.doi.org/10.1093/gigascience/giaa122

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