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Article

Identifying disease candidate genes via large-scale gene network analysis.

International journal of data mining and bioinformatics - 1 Jan 2014

Kim Haseong, Park Taesung, Gelenbe Erol

Abstract excerpt

Gene Regulatory Networks (GRN) provide systematic views of complex living systems, offering reliable and large-scale GRNs to identify disease candidate genes. A reverse engineering technique, Bayesian Model Averaging-based Networks (BMAnet), which ensembles all appropriate linear models to tackle uncertainty in model selection that integrates heterogeneous biological data sets is introduced. Using network...

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Identifiers

PMID: 25796737
DOI: 10.1504/ijdmb.2014.064014

Genes

GRN

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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