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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...
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| 出版年: | PeerJ |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
PeerJ Inc.
2017
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| 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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