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Article

Information-theoretic metrics for visualizing gene-environment interactions.

American journal of human genetics - 1 Nov 2007

Chanda Pritam, Zhang Aidong, Brazeau Daniel, Sucheston Lara, Freudenheim Jo L, Ambrosone Christine, Ramanathan Murali

Abstract excerpt

The purpose of our work was to develop heuristics for visualizing and interpreting gene-environment interactions (GEIs) and to assess the dependence of candidate visualization metrics on biological and study-design factors. Two information-theoretic metrics, the k-way interaction information (KWII) and the total correlation information (TCI), were investigated. The effectiveness of the KWII and TCI to detect GEIs...

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Identifiers

PMID: 17924337
DOI: 10.1086/521878
PMCID: PMC2265645

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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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