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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| Main Authors: | , , |
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| Format: | Book Section |
| Language: | English |
| Published: |
Springer Berlin Heidelberg
2007
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/9640/1/MohdSaberiTan2007_SelectingInformativeGenesFromLeukemia.pdf http://eprints.utm.my/id/eprint/9640/ http://dx.doi.org/10.1007/978-3-540-68017-8_133 |
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