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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Published: |
Springer
2014
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/62759/ http://dx.doi.org/10.1007/978-981-4585-18-7_26 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |
Be the first to leave a comment!