Prediction of transporter family from protein sequence by support vector machine approach
10.1002/prot.20605
Saved in:
Main Authors: | Lin, H.H., Han, L.Y., Cai, C.Z., Ji, Z.L., Chen, Y.Z. |
---|---|
Other Authors: | PHARMACY |
Format: | Article |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/106247 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Enzyme Family Classification by Support Vector Machines
by: Cai, C.Z., et al.
Published: (2014) -
Prediction of torsade-causing potential of drugs by support vector machine approach
by: Yap, C.W., et al.
Published: (2014) -
Prediction of RNA-binding proteins from primary sequence by a support vector machine approach
by: Han, L.Y., et al.
Published: (2014) -
Classification models for HERG potassium channel inhibitors based on the support vector machine approach
by: Li, P., et al.
Published: (2014) -
Prediction of antifungal activity with support vector machine
by: Li, Z.-R., et al.
Published: (2014)