Random Forest in Clinical Metabolomics for Phenotypic Discrimination and Biomarker Selection

Metabolomic data analysis becomes increasingly challenging when dealing with clinical samples with diverse demographic and genetic backgrounds and various pathological conditions or treatments. Although many classification tools, such as projection to latent structures (PLS), support vector machine...

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Main Authors: Chen, Tianlu, Cao, Yu, Zhang, Yinan, Liu, Jiajian, Bao, Yuqian, Wang, Congrong, Jia, Weiping, Zhao, Aihua
Format: Artigo
Jezik:Inglês
Izdano: Hindawi Publishing Corporation 2013
Teme:
Research Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC3594909/
https://ncbi.nlm.nih.gov/pubmed/23573122
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2013/298183
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