Introduction to Grey system theory
The Journal of Grey System
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
Cancer classification using gene expression data
Information Systems - Special issue: Data management in bioinformatics
Machine learning in DNA microarray analysis for cancer classification
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
Minimum Redundancy Feature Selection from Microarray Gene Expression Data
CSB '03 Proceedings of the IEEE Computer Society Conference on Bioinformatics
Handling gene redundancy in microarray data using Grey Relational Analysis
International Journal of Data Mining and Bioinformatics
Gene selection for classifying microarray data using grey relation analysis
DS'06 Proceedings of the 9th international conference on Discovery Science
Handling gene redundancy in microarray data using Grey Relational Analysis
International Journal of Data Mining and Bioinformatics
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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.