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

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

Abstract 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 no...

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Bibliografiska uppgifter
Huvudupphovsmän: Christoph Hafemeister, Rahul Satija
Materialtyp: Artikel
Språk:English
Publicerad: BMC 2019-12-01
Serie:Genome Biology
Ämnen:
Single-cell RNA-seq
Normalization
Länkar:https://doi.org/10.1186/s13059-019-1874-1

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