Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06)
Minimum Redundancy Gene Selection Based on Grey Relational Analysis
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2702-7
In this article we describe a method for selecting informative genes from microarray data. The method is based on clustering, namely, it first find similar genes, group them and then select informative genes from these groups to avoid redundancy. A new gene similarity measure based on Grey Relational Analysis (GRA), called Grey Relational Grade (GRG), is used in clustering. Experiments on three public data sets demonstrate the effectiveness of our method.
Citation:
Li-Juan Zhang, Zhou-Jun Li, Huo-Wang Chen, Jian Wen, "Minimum Redundancy Gene Selection Based on Grey Relational Analysis," icdmw, pp.120-124, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06), 2006
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