Tumor Classification Using Support Vector Machines
نویسنده
چکیده
In this study, a method for classification of tumor sample microarray data based on support vector machines is presented. Different possibilities for data processing, gene selection and support vector machine classification are recited. The performance of support vector machine classification is compared to that of linear discriminant analysis and decision tree -based classifiers.
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تاریخ انتشار 2004