Identifying Differentially Expressed Genes of Zero Inflated Single Cell RNA Sequencing Data Using Mixed Model Score Tests

Single cell RNA sequencing (scRNA-seq) allows quantitative measurement and comparison of gene expression at the resolution of single cells. Ignoring the batch effects and zero inflation of scRNA-seq data, many proposed differentially expressed (DE) methods might generate bias. We propose a method, s...

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Bibliographic Details

Published in:	Frontiers in genetics Vol. 12; p. 616686
Main Authors:	He, Zhiqiang, Pan, Yueyun, Shao, Fang, Wang, Hui
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 05.02.2021
Subjects:	differential expression analyses generalized linear mixed model Genetics observational weights score test single cell RNA sequencing zero inflation score test observational weights differential expression analyses single cell RNA sequencing generalized linear mixed model zero inflation
ISSN:	1664-8021, 1664-8021
Online Access:	Get full text
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