Article

GCDPipe: risk gene, cell type, and drug ranking for complex traits

2022-07-29

Abstract excerpt

We introduce a user-friendly machine learning tool for risk gene, cell type, and drug ranking for complex traits - GCDPipe. It uses gene-level GWAS-derived data and publicly available expression data to train a model for prediction of disease risk genes and relevant cell types. Gene-ranking information is then coupled with known drug targets data to prioritize drugs based on their estimated functional effects asso...

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Identifiers and source

Literature Corpus work: 1ebbcce9-eeee-5283-b5dc-f9829b6be354
DOI: 10.1101/2022.07.27.501775

Open publication

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