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Article

A system-level pathway-phenotype association analysis using synthetic feature random forest.

Genetic epidemiology - 1 Apr 2014

Pan Qinxin, Hu Ting, Malley James D, Andrew Angeline S, Karagas Margaret R, Moore Jason H

Abstract excerpt

As the cost of genome-wide genotyping decreases, the number of genome-wide association studies (GWAS) has increased considerably. However, the transition from GWAS findings to the underlying biology of various phenotypes remains challenging. As a result, due to its system-level interpretability, pathway analysis has become a popular tool for gaining insights on the underlying biology from high-throughput genetic...

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Identifiers

PMID: 24535726
DOI: 10.1002/gepi.21794
PMCID: PMC4327826

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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