Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis

Tuning parameters of dimensionality reduction methods for single-cell RNA-seq analysis

Abstract Background Many computational methods have been developed recently to analyze single-cell RNA-seq (scRNA-seq) data. Several benchmark studies have compared these methods on their ability for dimensionality reduction, clustering, or differential analysis, often relying on default parameters....

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Bibliographic Details
Main Authors:	Felix Raimundo, Celine Vallot, Jean-Philippe Vert
Format:	Article
Language:	English
Published:	BMC 2020-08-01
Series:	Genome Biology
Online Access:	http://link.springer.com/article/10.1186/s13059-020-02128-7

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