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Article

eResponseNet: a package prioritizing candidate disease genes through cellular pathways.

Bioinformatics (Oxford, England) - 15 Aug 2011

Huang Jialiang, Liu Yi, Zhang Wei, Yu Hong, Han Jing-Dong J

Abstract excerpt

MOTIVATION: Although genome-wide association studies (GWAS) have found many common genetic variants associated with human diseases, it remains a challenge to elucidate the functional links between associated variants and complex traits. RESULTS: We developed a package called eResponseNet by implementing and extending the existing ResponseNet algorithm for prioritizing candidate disease genes through cellular...

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Identifiers

PMID: 21700671
DOI: 10.1093/bioinformatics/btr380

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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