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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,...
Autores principales: | Simon, Lukas M, Yan, Fangfang, Zhao, Zhongming |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
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 |
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