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Article

Tree-structured supervised learning and the genetics of hypertension.

Proceedings of the National Academy of Sciences of the United States of America - 20 Jul 2004

Huang Jing, Lin Alfred, Narasimhan Balasubramanian, Quertermous Thomas, Hsiung C Agnes, Ho Low-Tone, Grove John S, Olivier Michael, Ranade Koustubh, Risch Neil J, Olshen Richard A

Abstract excerpt

This paper is about an algorithm, FlexTree, for general supervised learning. It extends the binary tree-structured approach (Classification and Regression Trees, CART) although it differs greatly in its selection and combination of predictors. It is particularly applicable to assessing interactions: gene by gene and gene by environment as they bear on complex disease. One model for predisposition to complex...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 15249660
DOI: 10.1073/pnas.0403794101
PMCID: PMC489971

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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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