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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| 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 |