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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Détails bibliographiques
Auteurs principaux: 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
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2006
Sujets:
Methodology Article
Accès en ligne: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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