Article

Learning Parsimonious Classification Rules from Gene Expression Data Using Bayesian Networks with Local Structure

2016-12-15

Abstract excerpt

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 summarize the observed data. We extend a Bayesian Rule Learning (BRL-GSS) algorithm, previously shown to be a significantly better predictor than other classica...

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Literature Corpus work: 9f078678-8356-5336-9a2a-515953761f6a
DOI: 10.20944/preprints201612.0077.v1

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