ZINBWaVE 1.16.0

:: DESCRIPTION

ZINBWaVE implements a general and flexible zero-inflated negative binomial model that can be used to provide a low-dimensional representations of single-cell RNA-seq data. The model accounts for zero inflation (dropouts), over-dispersion, and the count nature of the data. The model also accounts for the difference in library sizes and optionally for batch effects and/or other covariates, avoiding the need for pre-normalize the data.

::DEVELOPER

Centre for Computational Biology

:: SCREENSHOTS

N/A

:: REQUIREMENTS

• Windows/Linux/MacOsX
• R
• BioConductor

:: DOWNLOAD

ZINBWaVE

:: MORE INFORMATION

Citation

Risso D, Perraudeau F, Gribkova S, Dudoit S, Vert JP.
A general and flexible method for signal extraction from single-cell RNA-seq data.
Nat Commun. 2018 Jan 18;9(1):284. doi: 10.1038/s41467-017-02554-5. Erratum in: Nat Commun. 2019 Feb 4;10(1):646. PMID: 29348443; PMCID: PMC5773593.