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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Detalles Bibliográficos
Autores principales: 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: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1456993/
https://www.ncbi.nlm.nih.gov/pubmed/16606446
http://dx.doi.org/10.1186/1471-2105-7-197

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1456993/
https://www.ncbi.nlm.nih.gov/pubmed/16606446
http://dx.doi.org/10.1186/1471-2105-7-197

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