Comparative study of Kernel based classification and feature selection methods with gene expression data
Gene expression profiles obtained by high-throughput techniques such as microarray provide a snapshot of expression values of up to ten thousands genes in a particular tissue sample. Analyzing such gene expression data can be quite cumbersome as the sample size is small, the dimensionality is high,...
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| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/2429/18337 |