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- W81471029 abstract "The paper presents results of the research verifying whether gene clustering that takes under consideration both gene expression values and similarity of GO terms improves a quality of rule-based description of the gene groups. The obtained results show that application of the Conditional Robust Fuzzy C-Medoids algorithm enables to obtain gene groups similar to the groups determined by domain experts. However, the differences observed in clustering influences a description quality of the groups. The rules determined cover more genes retaining their statistical significance. The rules induction and post-processing method presented in the paper takes under consideration, among others, a hierarchy of GO terms and a compound measure that evaluates the generated rules. The approach presented is unique, it makes possible to limit a number of rules determined considerably and to obtain rules that reflect varied biological knowledge even if they cover the same genes." @default.
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- W81471029 date "2009-01-01" @default.
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- W81471029 title "Fuzzy Clustering and Gene Ontology Based Decision Rules for Identification and Description of Gene Groups" @default.
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- W81471029 doi "https://doi.org/10.1007/978-3-642-00563-3_14" @default.
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