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Article

A comparison of classification methods for predicting Chronic Fatigue Syndrome based on genetic data.

Journal of translational medicine - 22 Sept 2009

Huang Lung-Cheng, Hsu Sen-Yen, Lin Eugene

Abstract excerpt

BACKGROUND: In the studies of genomics, it is essential to select a small number of genes that are more significant than the others for the association studies of disease susceptibility. In this work, our goal was to compare computational tools with and without feature selection for predicting chronic fatigue syndrome (CFS) using genetic factors such as single nucleotide polymorphisms (SNPs). METHODS: We employed...

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Identifiers

PMID: 19772600
DOI: 10.1186/1479-5876-7-81
PMCID: PMC2765429

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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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