Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies

Differential expression (DE) and gene set enrichment (GSE) analysis tend to be carried out separately. Here, the authors present iDEA (integrative Differential expression and gene set Enrichment Analysis) for the analysis of scRNAseq data which uses a Baysian approach to jointly model DE and GSE for...

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Autores principales:	Ying Ma, Shiquan Sun, Xuequn Shang, Evan T. Keller, Mengjie Chen, Xiang Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/19d63e4d079b409da993da1c785284aa
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spelling	oai:doaj.org-article:19d63e4d079b409da993da1c785284aa2021-12-02T17:31:09ZIntegrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies10.1038/s41467-020-15298-62041-1723https://doaj.org/article/19d63e4d079b409da993da1c785284aa2020-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-15298-6https://doaj.org/toc/2041-1723Differential expression (DE) and gene set enrichment (GSE) analysis tend to be carried out separately. Here, the authors present iDEA (integrative Differential expression and gene set Enrichment Analysis) for the analysis of scRNAseq data which uses a Baysian approach to jointly model DE and GSE for improved power in both tasks.Ying MaShiquan SunXuequn ShangEvan T. KellerMengjie ChenXiang ZhouNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ying Ma Shiquan Sun Xuequn Shang Evan T. Keller Mengjie Chen Xiang Zhou Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies
description	Differential expression (DE) and gene set enrichment (GSE) analysis tend to be carried out separately. Here, the authors present iDEA (integrative Differential expression and gene set Enrichment Analysis) for the analysis of scRNAseq data which uses a Baysian approach to jointly model DE and GSE for improved power in both tasks.
format	article
author	Ying Ma Shiquan Sun Xuequn Shang Evan T. Keller Mengjie Chen Xiang Zhou
author_facet	Ying Ma Shiquan Sun Xuequn Shang Evan T. Keller Mengjie Chen Xiang Zhou
author_sort	Ying Ma
title	Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies
title_short	Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies
title_full	Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies
title_fullStr	Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies
title_full_unstemmed	Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies
title_sort	integrative differential expression and gene set enrichment analysis using summary statistics for scrna-seq studies
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/19d63e4d079b409da993da1c785284aa
work_keys_str_mv	AT yingma integrativedifferentialexpressionandgenesetenrichmentanalysisusingsummarystatisticsforscrnaseqstudies AT shiquansun integrativedifferentialexpressionandgenesetenrichmentanalysisusingsummarystatisticsforscrnaseqstudies AT xuequnshang integrativedifferentialexpressionandgenesetenrichmentanalysisusingsummarystatisticsforscrnaseqstudies AT evantkeller integrativedifferentialexpressionandgenesetenrichmentanalysisusingsummarystatisticsforscrnaseqstudies AT mengjiechen integrativedifferentialexpressionandgenesetenrichmentanalysisusingsummarystatisticsforscrnaseqstudies AT xiangzhou integrativedifferentialexpressionandgenesetenrichmentanalysisusingsummarystatisticsforscrnaseqstudies
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Integrative differential expression and gene set enrichment analysis using summary statistics for scRNA-seq studies

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