ccSVM: correcting Support Vector Machines for confounding factors in biological data classification

Motivation: Classifying biological data into different groups is a central task of bioinformatics: for instance, to predict the function of a gene or protein, the disease state of a patient or the phenotype of an individual based on its genotype. Support Vector Machines are a wide spread approach fo...

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Detalles Bibliográficos
Autores principales: Li, Limin, Rakitsch, Barbara, Borgwardt, Karsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Ismb/Eccb 2011 Proceedings Papers Committee July 17 to July 19, 2011, Vienna, Austria
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117385/
https://www.ncbi.nlm.nih.gov/pubmed/21685091
http://dx.doi.org/10.1093/bioinformatics/btr204

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3117385/
https://www.ncbi.nlm.nih.gov/pubmed/21685091
http://dx.doi.org/10.1093/bioinformatics/btr204

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