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Random-effects meta-analysis of effect sizes as a unified framework for gene set analysis

Gene set analysis (GSA) remains a common step in genome-scale studies because it can reveal insights that are not apparent from results obtained for individual genes. Many different computational tools are applied for GSA, which may be sensitive to different types of signals; however, most methods i...

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Detalles Bibliográficos
Autores principales:	Makrooni, Mohammad A., O’Shea, Dónal, Geeleher, Paul, Seoighe, Cathal
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576052/ https://www.ncbi.nlm.nih.gov/pubmed/36197939 http://dx.doi.org/10.1371/journal.pcbi.1010278

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