Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification

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Selecting informative genes from leukemia gene expression data using a hybrid approach for cancer classification

The development of microarray-based high-throughput gene profiling has led to the hope that this technology could provide an efficient and accurate means of diagnosing and classifying cancers. However, the large amount of data generated by microarrays requires effective selection of informative gene...

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Bibliographic Details
Main Authors:	Mohamad, Mohd. Saberi, Deris, Safaai, Hashim, Siti Zaiton Mohd.
Format:	Book Section
Language:	English
Published:	Springer Berlin Heidelberg 2007
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/9640/ http://eprints.utm.my/9640/1/MohdSaberiTan2007_SelectingInformativeGenesFromLeukemia.pdf

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