Study for gene analysis and selection based on rough information entropy
Zujian Wu · Jisuanji yingyong yanjiu · 2008
Basing on the conceptions of attribute importance and rough information entropy in rough sets theory,this paper defined the gene selection standard,analysed the affections of the uncertain information from the genes in the set and offered a RMSME algorithm.The algorithm selected genes which were mostly related with the disease classification according to the selection standard.Finally,verified the effectiveness of this algorithm by being carried out on the actual data set.