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...

書誌詳細
主要な著者:	Wenqing Jiang, Roby Joehanes, Daniel Levy, George T O’Connor, Josée Dupuis
フォーマット:	論文
言語:	English
出版事項:	BMC 2022-12-01
シリーズ:	BMC Genomics
主題:	Multi-omics data integration Gene expression Clustering DNA methylation Genotype Framingham Heart Study
オンライン･アクセス:	https://doi.org/10.1186/s12864-022-09026-1

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