A general and flexible method for signal extraction from single-cell RNA-seq data

A general and flexible method for signal extraction from single-cell RNA-seq data

Single-cell RNA sequencing (scRNA-seq) data provides information on transcriptomic heterogeneity within cell populations. Here, Risso et al develop ZINB-WaVE for low-dimensional representations of scRNA-seq data that account for zero inflation, over-dispersion, and the count nature of the data.

Bibliographic Details
Main Authors:	Davide Risso, Fanny Perraudeau, Svetlana Gribkova, Sandrine Dudoit, Jean-Philippe Vert
Format:	Article
Language:	English
Published:	Nature Portfolio 2018-01-01
Series:	Nature Communications
Online Access:	https://doi.org/10.1038/s41467-017-02554-5

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