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GSGEP
Welcome
Gene selection algorithms from microarray data set have been the subject of considerable research in the past few years, and investigators have been continuously improving the performance of the algorithms. However, the results are still far from satisfactory. To face this challenge, we proposed a two-step methodology of gene selection and multi-cancer classification based on step-by-step improvement of classification performance (GSGEP). The first step of gene selection was to use an existing data mining feature selection algorithm to do the initial selection, resulting in a gene subset; and the second step was to select the genes from this subset based on the gradual improvement in the performance of the classification.
Current Status
Version 0.1.1 of GSGEP is stable and is recommended for all users.
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