Handling gene redundancy in microarray data using Grey Relational Analysis.
Gene selection is one of the important and frequently used techniques for microarray data classification. In this paper, we introduce a new metric to measure gene-class relevance and gene-gene redundancy. The new metric is based on Grey Relational Analysis (GRA), called Grey Relational Grade (GRG), and never used in gene selection before. Based on the GRG, we develop a new gene selection method, which uses GRG to group similar genes to clusters, and then select informative genes from each cluster to avoid redundancy. Experiments on public data sets demonstrate the effectiveness of the proposed method.
Zhang
Li-Juan
LJ
National Laboratory for Parallel and Distributed Processing, Changsha 410073, China. nudtzlj@126.com
Li
Zhou-Jun
ZJ
Chen
Huo-Wang
HW