How to run a meta-analysis of differentially-expressed genes
I am attempting to conduct a meta-analysis in R of differentially-expressed genes across a variety of pain conditions. After searching the literature for whole genome studies, I identified a number of genes that appeared in 2 or more articles. Is it possible to run a meta-analysis using the fold changes or log2 changes to analyze the direction and degree of differential expression across the studies? Are there any good tutorials on meta-analyses of biomarker data?
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monkey-bars •
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Hi, I recently used GenRank, and will be using it again: https://www.bioconductor.org/packages/release/bioc/html/GenRank.html
Kevin
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Workflows For Microarray Meta-Analysis Projects.
microarray meta- analysis
Some of the packages cited in these threads are platform-agnostic, so not confined to microarrays.