Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data期刊界 All Journals 搜尽天下杂志传播学术成果专业期刊搜索期刊信息化学术搜索

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Tumor classification and marker gene prediction by feature selection and fuzzy c-means clustering using microarray data

Authors:	Email author" target="_blank">Junbai?Wang Email author Trond?Hellem?B? Inge?Jonassen Ola?Myklebost Eivind?Hovig

Institution:	(1) Departments of Tumor Biology, The Norwegian Radium Hospital, N0310 Oslo, Norway;(2) Departments of Informatics, University of Bergen,HIB, N5020 Bergen, Norway;(3) Computational Biology Unit, Bergen Center for Computational Sciences, University of Bergen, Bergen, Norway;(4) Department for Molecular Bioscience, University of OSLO, OSLO, Norway

Abstract:	Background Using DNA microarrays, we have developed two novel models for tumor classification and target gene prediction. First, gene expression profiles are summarized by optimally selected Self-Organizing Maps (SOMs), followed by tumor sample classification by Fuzzy C-means clustering. Then, the prediction of marker genes is accomplished by either manual feature selection (visualizing the weighted/mean SOM component plane) or automatic feature selection (by pair-wise Fisher's linear discriminant).

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