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Article

A neural network model for constructing endophenotypes of common complex diseases: an application to male young-onset hypertension microarray data.

Bioinformatics (Oxford, England) - 15 Apr 2009

Lynn Ke-Shiuan, Li Li-Lan, Lin Yen-Ju, Wang Chiuen-Huei, Sheng Shu-Hui, Lin Ju-Hwa, Liao Wayne, Hsu Wen-Lian, Pan Wen-Harn

Abstract excerpt

MOTIVATION: Identification of disease-related genes using high-throughput microarray data is more difficult for complex diseases as compared with monogenic ones. We hypothesized that an endophenotype derived from transcriptional data is associated with a set of genes corresponding to a pathway cl...

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PMID: 19237446
DOI: 10.1093/bioinformatics/btp106
PMCID: PMC2666815

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-19237446-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

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