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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Detalhes bibliográficos
Main Authors: Chen, Tianlu, Cao, Yu, Zhang, Yinan, Liu, Jiajian, Bao, Yuqian, Wang, Congrong, Jia, Weiping, Zhao, Aihua
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2013
Assuntos:
Research Article
Acesso em linha: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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