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Article

Analysis of alcoholism data using support vector machines.

BMC genetics - 30 Dec 2005

Yu Robert, Shete Sanjay

Abstract excerpt

A supervised learning method, support vector machine, was used to analyze the microsatellite marker dataset of the Collaborative Study on the Genetics of Alcoholism Problem 1 for the Genetic Analysis Workshop 14. Twelve binary-valued phenotype variables were chosen for analyses using the markers from all autosomal chromosomes. Using various polynomial kernel functions of the support vector machine and randomly...

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Identifiers

PMID: 16451595
DOI: 10.1186/1471-2156-6-S1-S136
PMCID: PMC1866800

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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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