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  • Title: Reducing multiclass cancer classification to binary by output coding and SVM.
    Author: Shen L, Tan EC.
    Journal: Comput Biol Chem; 2006 Feb; 30(1):63-71. PubMed ID: 16321568.
    Abstract:
    Multiclass cancer classification based on microarray data is presented. The binary classifiers used combine support vector machines with a generalized output-coding scheme. Different coding strategies, decoding functions and feature selection methods are incorporated and validated on two cancer datasets: GCM and ALL. Using random coding strategy and recursive feature elimination, the testing accuracy achieved is as high as 83% on GCM data with 14 classes. Comparing with other classification methods, our method is superior in classificatory performance.
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