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Article

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

Bioinformatics (Oxford, England) - 1 Jul 2011

Li Limin, Rakitsch Barbara, Borgwardt Karsten

Abstract excerpt

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 for classifying biological data, due to their high accuracy, their ability to deal with structured data such as...

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Identifiers

PMID: 21685091
DOI: 10.1093/bioinformatics/btr204
PMCID: PMC3117385

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