geneCBR is a model that can perform cancer classification based on microarray data. In order to store the information belonging to each sample, the system uses a fuzzy codification to represent the gene expression levels of each sample. This operation permits the generalization over the whole case base in order to tackle intra-experimental and inter-experimental variations in the data. Based on the fuzzy discretization of real gene expression data into a small number of fuzzy membership functions, the system is capable of constructing a set of prototypes that are able to represent the main characteristics of previously ascertained classes.
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D. Glez-Peña; F. Díaz; J.M. Hernández; J.M. Corchado; F. Fdez-Riverola (2009)
geneCBR: a translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research.
BMC Bioinformatics. 10:187. ISSN: 1471-2105