Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model

Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model

Abstract Single-cell RNA-Seq (scRNA-Seq) profiles gene expression of individual cells. Recent scRNA-Seq datasets have incorporated unique molecular identifiers (UMIs). Using negative controls, we show UMI counts follow multinomial sampling with no zero inflation. Current normalization procedures suc...

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Bibliographic Details
Main Authors: F. William Townes, Stephanie C. Hicks, Martin J. Aryee, Rafael A. Irizarry
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Genome Biology
Subjects:
Gene expression
Single cell
RNA-Seq
Dimension reduction
Variable genes
Principal component analysis
Online Access:https://doi.org/10.1186/s13059-019-1861-6

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