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pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery
2011
Bioinformatics
Prognostic and diagnostic biomarker discovery is one of the key issues for a successful stratification of patients according to clinical risk factors. For this purpose, statistical classification methods, such as support vector machines (SVM), are frequently used tools. Different groups have recently shown that the usage of prior biological knowledge significantly improves the classification results in terms of accuracy as well as reproducibility and interpretability of gene lists. Here, we
doi:10.1093/bioinformatics/btr157
pmid:21450711
fatcat:kdfiuqwwuzgtbkdu35c46lr3xi