SVD based gene selection algorithm
This paper proposes an unsupervised gene selection algorithm based on the singular value decomposition (SVD) to determine the most informative genes from a cancer gene expression dataset. These genes are important for many tasks including cancer clustering and classification, data compression, and s...
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| Main Author: | |
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| Format: | Article |
| Published: |
Springer
2014
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/62759/ http://dx.doi.org/10.1007/978-981-4585-18-7_26 |
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| Institution: | Universiti Teknologi Malaysia |