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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2011
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| Materias: | |
| 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 |