Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization

Single-cell RNA-Sequencing (scRNA-Seq) is a fast-evolving technology that enables the understanding of biological processes at an unprecedentedly high resolution. However, well-suited bioinformatics tools to analyze the data generated from this new technology are still lacking. Here we investigate t...

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Detalles Bibliográficos
Autores principales: Zhu, Xun, Ching, Travers, Pan, Xinghua, Weissman, Sherman M., Garmire, Lana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5251935/
https://www.ncbi.nlm.nih.gov/pubmed/28133571
http://dx.doi.org/10.7717/peerj.2888

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5251935/
https://www.ncbi.nlm.nih.gov/pubmed/28133571
http://dx.doi.org/10.7717/peerj.2888

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