Building interpretable fuzzy models for high dimensional data analysis in cancer diagnosis.

Abstract excerpt

BACKGROUND: Analysing gene expression data from microarray technologies is a very important task in biology and medicine, and particularly in cancer diagnosis. Different from most other popular methods in high dimensional bio-medical data analysis, such as microarray gene expression or proteomics mass spectroscopy data analysis, fuzzy rule-based models can not only provide good classification results, but also...

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