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

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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Bibliographic Details
Main Authors: Xun Zhu, Travers Ching, Xinghua Pan, Sherman M. Weissman, Lana Garmire
Format: Article
Language:English
Published: PeerJ Inc. 2017-01-01
Series:PeerJ
Subjects:
Single-cell
RNA-Seq
Heterogeneity
Non-negative matrix factorization
Modularity
Clustering
Online Access:https://peerj.com/articles/2888.pdf

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https://peerj.com/articles/2888.pdf

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