f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq

f-scLVM: scalable and versatile factor analysis for single-cell RNA-seq

Abstract Single-cell RNA-sequencing (scRNA-seq) allows studying heterogeneity in gene expression in large cell populations. Such heterogeneity can arise due to technical or biological factors, making decomposing sources of variation difficult. We here describe f-scLVM (factorial single-cell latent v...

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Bibliographic Details
Main Authors: Florian Buettner, Naruemon Pratanwanich, Davis J. McCarthy, John C. Marioni, Oliver Stegle
Format: Article
Language:English
Published: BMC 2017-11-01
Series:Genome Biology
Subjects:
Single-cell RNA-seq
Sparse factor analysis
Gene set annotations
Online Access:http://link.springer.com/article/10.1186/s13059-017-1334-8

Internet

http://link.springer.com/article/10.1186/s13059-017-1334-8

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