Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data

Identifying enriched gene sets in transcriptomic data is routine analysis. Here, the authors show that conventional gene category enrichment analysis (GCEA) applied to brain-wide atlas data yields biased results and develop a flexible ensemble-based null model framework to enable appropriate inferen...

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Autores principales:	Ben D. Fulcher, Aurina Arnatkeviciute, Alex Fornito
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/a043385931fd4415a4b3a9fa307ff145
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spelling	oai:doaj.org-article:a043385931fd4415a4b3a9fa307ff1452021-12-02T15:36:11ZOvercoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data10.1038/s41467-021-22862-12041-1723https://doaj.org/article/a043385931fd4415a4b3a9fa307ff1452021-05-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22862-1https://doaj.org/toc/2041-1723Identifying enriched gene sets in transcriptomic data is routine analysis. Here, the authors show that conventional gene category enrichment analysis (GCEA) applied to brain-wide atlas data yields biased results and develop a flexible ensemble-based null model framework to enable appropriate inference in GCEA.Ben D. FulcherAurina ArnatkeviciuteAlex FornitoNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Ben D. Fulcher Aurina Arnatkeviciute Alex Fornito Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
description	Identifying enriched gene sets in transcriptomic data is routine analysis. Here, the authors show that conventional gene category enrichment analysis (GCEA) applied to brain-wide atlas data yields biased results and develop a flexible ensemble-based null model framework to enable appropriate inference in GCEA.
format	article
author	Ben D. Fulcher Aurina Arnatkeviciute Alex Fornito
author_facet	Ben D. Fulcher Aurina Arnatkeviciute Alex Fornito
author_sort	Ben D. Fulcher
title	Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
title_short	Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
title_full	Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
title_fullStr	Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
title_full_unstemmed	Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
title_sort	overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a043385931fd4415a4b3a9fa307ff145
work_keys_str_mv	AT bendfulcher overcomingfalsepositivegenecategoryenrichmentintheanalysisofspatiallyresolvedtranscriptomicbrainatlasdata AT aurinaarnatkeviciute overcomingfalsepositivegenecategoryenrichmentintheanalysisofspatiallyresolvedtranscriptomicbrainatlasdata AT alexfornito overcomingfalsepositivegenecategoryenrichmentintheanalysisofspatiallyresolvedtranscriptomicbrainatlasdata
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Overcoming false-positive gene-category enrichment in the analysis of spatially resolved transcriptomic brain atlas data

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