Predicting proteins interactions from protein sequence features using support vector machines
Computational methods to predict protein-protein interactions are becoming increasingly important. This is due to the fact that most of the interactions data have been identified by high-throughput technologies like the yeast two-hybrid system which are known to yield many false positives. In this p...
| Main Authors: | , , |
|---|---|
| Format: | Monograph |
| Language: | English |
| Published: |
Penerbit UTM
2017
|
| Online Access: | http://eprints.utm.my/8731/1/BIOCOMP-2006.pdf |