Assisted clustering of gene expression data using regulatory data from partially overlapping sets of individuals

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 be ident...

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Detalles Bibliográficos
Autores principales: Jiang, Wenqing, Joehanes, Roby, Levy, Daniel, O’Connor, George T, Dupuis, Josée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9734806/
https://www.ncbi.nlm.nih.gov/pubmed/36496393
http://dx.doi.org/10.1186/s12864-022-09026-1

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