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...

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Dades bibliogràfiques
Autors principals:	Wenqing Jiang, Roby Joehanes, Daniel Levy, George T O’Connor, Josée Dupuis
Format:	Article
Idioma:	English
Publicat:	BMC 2022-12-01
Col·lecció:	BMC Genomics
Matèries:	Multi-omics data integration Gene expression Clustering DNA methylation Genotype Framingham Heart Study
Accés en línia:	https://doi.org/10.1186/s12864-022-09026-1

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