BIOINFORMATICS Small, Fuzzy and Interpretable Gene Expression Based Classifiers
نویسندگان
چکیده
Motivation: Interpretation of classification models derived from gene expression data is usually not simple, yet it is an important aspect in the analytical process. We investigate the performance of small rule-based classifiers based on fuzzy logic in five data sets that are different in size, laboratory origin, and biomedical domain. Results: The classifiers resulted in rules that can be readily examined by biomedical researchers. The fuzzy-logic-based classifiers compare favorably with logistic regression in all data sets. Availability: Prototype available upon request. Contact: [email protected]
منابع مشابه
Small, fuzzy and interpretable gene expression based classifiers
MOTIVATION Interpretation of classification models derived from gene-expression data is usually not simple, yet it is an important aspect in the analytical process. We investigate the performance of small rule-based classifiers based on fuzzy logic in five datasets that are different in size, laboratory origin and biomedical domain. RESULTS The classifiers resulted in rules that can be readil...
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