Gene Selection Based on Consistency Modelling, Algorithms and Applications - Genetic Algorithm Application in Bioinformatics Data Analysis - Prijzen

Consistency modeling for gene selection is a new topic emerging from recent cancer bioinformatics research. The result of classification or clustering on a training set was often found very different from the same operations on a testing set. Here, the issue is addressed as a consistency problem. In practice, the inconsistency of microarray datasets prevents many typical gene selection methods working properly for cancer diagnosis and prognosis....

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