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[Random forest analysis of high dimensional case and control study of lung cancer].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine] - 1 Sept 2012

Zhu Jing-jing, Zhao Yang, Lu Feng, Hu Zhi-bin, Chen Feng

Abstract excerpt

OBJECTIVE: To investigate the performance of random forest method as a SNP screening procedure in high dimensional case-control data of lung cancer. METHODS: This study included 500 lung cancer patients and 517 controls. A total of 5 ml venous blood sample was collected from each participant. The genotypes were classified by GoldenGate platform, and 399 SNPs were selected. The random forest method was first...

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PMID: 23157892

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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