Biological-based semi-supervised clustering algorithm to improve gene function prediction
Analysis of simultaneous clustering of gene expression with biological knowledge has now become an importanttechnique and standard practice to present a proper interpretation of the data and its underlying biology. However, commonclustering algorithms do not provide a comprehensive approach that loo...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Journal of Computing
2011
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/6964/ http://www.scribd.com/doc/54846391/Biological-based-Semi-supervised-Clustering-Algorithm-to-Improve-Gene-Function-Prediction |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|