Induction of comprehensible models for gene expression datasets by subgroup discovery methodology.

Abstract excerpt

Finding disease markers (classifiers) from gene expression data by machine learning algorithms is characterized by a high risk of overfitting the data due the abundance of attributes (simultaneously measured gene expression values) and shortage of available examples (observations). To avoid this...

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