Pathway Analysis for High-Throughput Genomics Studies
Year: 2012
Type: other
Abstract: I get a lot of requests in the core about running a "pathway analysis." Someone ran a handful of gene expression arrays, or better yet, ran an RNA-seq experiment (with replicates!). These, and many other kinds of high-throughput assays (GWAS, ChIP-seq, etc.) result in a list of genes and some associated p-value, fold change, or other statistic. Here's some R code to download public data from a study on susceptibility to colorectal cancer.
DOI: 10.59350/ys4fp-ke489
Author: Stephen Turner
Institution: University of Virginia
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
OpenAlex ID: W4405648172
