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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...

詳細記述

保存先:
書誌詳細
出版年:PeerJ
主要な著者: Zhu, Xun, Ching, Travers, Pan, Xinghua, Weissman, Sherman M., Garmire, Lana
フォーマット: Artigo
言語:Inglês
出版事項: PeerJ Inc. 2017
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5251935/
https://ncbi.nlm.nih.gov/pubmed/28133571
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.2888
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