Assisted clustering of gene expression data using regulatory data from partially overlapping sets of individuals

Assisted clustering of gene expression data using regulatory data from partially overlapping sets of individuals

Abstract Background As omics measurements profiled on different molecular layers are interconnected, integrative approaches that incorporate the regulatory effect from multi-level omics data are needed. When the multi-level omics data are from the same individuals, gene expression (GE) clusters can...

Полное описание

Библиографические подробности
Главные авторы:	Wenqing Jiang, Roby Joehanes, Daniel Levy, George T O’Connor, Josée Dupuis
Формат:	Статья
Язык:	English
Опубликовано:	BMC 2022-12-01
Серии:	BMC Genomics
Предметы:	Multi-omics data integration Gene expression Clustering DNA methylation Genotype Framingham Heart Study
Online-ссылка:	https://doi.org/10.1186/s12864-022-09026-1

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