@article{(Open Science Index):https://publications.waset.org/pdf/10270, title = {A Comparison of SVM-based Criteria in Evolutionary Method for Gene Selection and Classification of Microarray Data}, author = {Rameswar Debnath and Haruhisa Takahashi}, country = {}, institution = {}, abstract = {An evolutionary method whose selection and recombination operations are based on generalization error-bounds of support vector machine (SVM) can select a subset of potentially informative genes for SVM classifier very efficiently [7]. In this paper, we will use the derivative of error-bound (first-order criteria) to select and recombine gene features in the evolutionary process, and compare the performance of the derivative of error-bound with the error-bound itself (zero-order) in the evolutionary process. We also investigate several error-bounds and their derivatives to compare the performance, and find the best criteria for gene selection and classification. We use 7 cancer-related human gene expression datasets to evaluate the performance of the zero-order and first-order criteria of error-bounds. Though both criteria have the same strategy in theoretically, experimental results demonstrate the best criterion for microarray gene expression data.}, journal = {International Journal of Bioengineering and Life Sciences}, volume = {4}, number = {10}, year = {2010}, pages = {737 - 741}, ee = {https://publications.waset.org/pdf/10270}, url = {https://publications.waset.org/vol/46}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 46, 2010}, }