Gene Selection in Terms of Performance Based Consistency
نویسندگان
چکیده
Consistency modeling for gene selection is a new topic emerging from our recent cancer bioinformatics research. We found that the result of classification or clustering on a training set was often quite different compared to using a testing set. Here, we address this as a consistency problem. In practice, the inconsistency of microarray datasets prevents many typical gene selection methods working properly for cancer diagnosis and prognosis. In an attempt to deal with this problem, we propose a new gene selection method in terms of performance based on consistency.
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