Recursive SVM feature selection and sample classification for mass-spectrometry and microarray data

BACKGROUND: Like microarray-based investigations, high-throughput proteomics techniques require machine learning algorithms to identify biomarkers that are informative for biological classification problems. Feature selection and classification algorithms need to be robust to noise and outliers in t...

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Detalhes bibliográficos
Main Authors: Zhang, Xuegong, Lu, Xin, Shi, Qian, Xu, Xiu-qin, Leung, Hon-chiu E, Harris, Lyndsay N, Iglehart, James D, Miron, Alexander, Liu, Jun S, Wong, Wing H
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2006
Assuntos:
Methodology Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC1456993/
https://ncbi.nlm.nih.gov/pubmed/16606446
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-7-197
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