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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Bibliografiska uppgifter
Huvudupphovsmän: Wenqing Jiang, Roby Joehanes, Daniel Levy, George T O’Connor, Josée Dupuis
Materialtyp: Artikel
Språk:English
Publicerad: BMC 2022-12-01
Serie:BMC Genomics
Ämnen:
Multi-omics data integration
Gene expression
Clustering
DNA methylation
Genotype
Framingham Heart Study
Länkar:https://doi.org/10.1186/s12864-022-09026-1

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