Article

Prioritization of disease genes from GWAS using ensemble based positive-unlabeled learning

2020-07-12

Abstract excerpt

Major complication in understanding disease biology from GWAS arises from inability to identify a complete set of causal genes. Integration of multiple omics data sources could provide an important functional link between associated variants and candidate genes. Machine-learning could take advantage of this variety of data and provide a solution for prioritization of disease genes. Yet, classical positive-negative...

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Literature Corpus work: 14fb6b5f-314b-542b-a97c-1b7a9913ff02
DOI: 10.1101/2020.07.12.199273

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