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Tumor Gene Characteristics Selection Method Based on Multi-Agent
Open Cybernetics and Systemics Journal
For the tumor gene expression profile data that aiming to high-dimension small samples, how to select the classification feature of samples among thousands genes effectively is the difficult problems for analysis on tumor gene expression profile. First to partition the data set into K average divisions, to use Lasso method performing feature selection on each respectively, and then merge each selected division of subset together to perform feather selection again, and get the final featuredoi:10.2174/1874110x01509012513 fatcat:ghppdyat5zhfrpjjf3ri2lur4e