Article

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

2022-06-06

Abstract excerpt

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 test whether there are differences in the distribution of the effect of some experimental condition between genes in g...

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Literature Corpus work: 01b3aa96-30fc-5b18-a33c-f6015072fdf4
DOI: 10.1101/2022.06.06.494956

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