Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure
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The comprehensibility of good predictive models learned from high-dimensional gene expression data is attractive because it can lead to biomarker discovery. Several good classifiers provide comparable predictive performance but differ in their abilities to sum... ...
