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...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Wenqing Jiang, Roby Joehanes, Daniel Levy, George T O’Connor, Josée Dupuis
Format: Artikel
Sprache:English
Veröffentlicht: BMC 2022-12-01
Schriftenreihe:BMC Genomics
Schlagworte:
Multi-omics data integration
Gene expression
Clustering
DNA methylation
Genotype
Framingham Heart Study
Online Zugang:https://doi.org/10.1186/s12864-022-09026-1

Ähnliche Einträge

Ähnliche Einträge