@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},
	}