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To cope with these difficulties, this paper introduces a fuzzy logic based pre-processing approach composed of two main steps. First, we use fuzzy inference rules to transform the gene expression levels of a given dataset into fuzzy values. Then we apply a similarity relation to these fuzzy values to define fuzzy equivalence groups, each group containing strongly similar genes. Dimension reduction is achieved by considering for each group of similar genes a single representative based on mutual information. To assess the usefulness of this approach, extensive experimentations were carried out on three well-known public datasets with a combined classification model using three statistic filters and three classifiers.<\/jats:p>","DOI":"10.1016\/s1672-0229(08)60021-2","type":"journal-article","created":{"date-parts":[[2008,10,29]],"date-time":"2008-10-29T08:34:07Z","timestamp":1225269247000},"page":"61-73","source":"Crossref","is-referenced-by-count":22,"title":["Fuzzy Logic for Elimination of Redundant Information of Microarray Data"],"prefix":"10.1093","volume":"6","author":[{"given":"Edmundo Bonilla","family":"Huerta","sequence":"first","affiliation":[{"name":"LERIA, Universit\u00e9 d\u2019Angers , Angers, 2 Boulevard Lavoisier, 49045 , France"}]},{"given":"B\u00e9atrice","family":"Duval","sequence":"additional","affiliation":[{"name":"LERIA, Universit\u00e9 d\u2019Angers , Angers, 2 Boulevard Lavoisier, 49045 , France"}]},{"given":"Jin-Kao","family":"Hao","sequence":"additional","affiliation":[{"name":"LERIA, Universit\u00e9 d\u2019Angers , Angers, 2 Boulevard Lavoisier, 49045 , France"}]}],"member":"286","published-online":{"date-parts":[[2008,10,28]]},"reference":[{"key":"2024051008251882900_bib1","doi-asserted-by":"crossref","first-page":"6745","DOI":"10.1073\/pnas.96.12.6745","article-title":"Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays","volume":"96","author":"Alon","year":"1999","journal-title":"Proc. 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