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...

Bibliografski detalji
Glavni autori:	Wenqing Jiang, Roby Joehanes, Daniel Levy, George T O’Connor, Josée Dupuis
Format:	Članak
Jezik:	English
Izdano:	BMC 2022-12-01
Serija:	BMC Genomics
Teme:	Multi-omics data integration Gene expression Clustering DNA methylation Genotype Framingham Heart Study
Online pristup:	https://doi.org/10.1186/s12864-022-09026-1

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