Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression

Single-cell RNA-seq (scRNA-seq) data exhibits significant cell-to-cell variation due to technical factors, including the number of molecules detected in each cell, which can confound biological heterogeneity with technical effects. To address this, we present a modeling framework for the normalizati...

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Bibliographic Details
Published in:	Genome Biology Vol. 20; no. 1; p. 296
Main Authors:	Hafemeister, Christoph, Satija, Rahul
Format:	Journal Article
Language:	English
Published:	London BioMed Central 23.12.2019 Springer Nature B.V BMC
Subjects:	Animal Genetics and Genomics binomial distribution Bioinformatics Biomedical and Life Sciences data collection Datasets Evolutionary Biology Gene expression gene expression regulation Generalized linear models genes Genomics Human Genetics Humans Life Sciences linear models Method Microbial Genetics and Genomics Normalization Plant Genetics and Genomics Regression Analysis Ribonucleic acid RNA sequence analysis Sequence Analysis, RNA Single-Cell Analysis Single-cell RNA-seq Software variance Single-cell RNA-seq Normalization
ISSN:	1474-760X, 1474-7596, 1474-760X
Online Access:	Get full text
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