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Building a Classifier for Integrated Microarray Datasets through Two-Stage Approach
2006
Sixth IEEE Symposium on BioInformatics and BioEngineering (BIBE'06)
Since microarray data acquire tens of thousands of gene expression values simultaneously, they could be very useful in identifying the phenotypes of diseases. However, the results of analyzing several microarray datasets which were independently carried out with the same biological objectives, could turn out to be different. One of the main reasons is attributable to the limited number of samples involved in one microarray experiment. In order to increase the classification accuracy, it is
doi:10.1109/bibe.2006.253321
dblp:conf/bibe/YoonLP06
fatcat:qqphlnbtcrfpln4xxy5dzrjyly