Prediction of functional class of novel plant proteins by a statistical learning method
10.1111/j.1469-8137.2005.01482.x
Saved in:
Main Authors: | Han, L.Y., Zheng, C.J., Lin, H.H., Cui, J., Li, H., Zhang, H.L., Tang, Z.Q., Chen, Y.Z. |
---|---|
Other Authors: | COMPUTATIONAL SCIENCE |
Format: | Article |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/104844 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Prediction of functional class of novel bacterial proteins without the use of sequence similarity by a statistical learning method
by: Cui, J., et al.
Published: (2014) -
Homology-free prediction of functional class of proteins and peptides by support vector machines
by: Zhu, F., et al.
Published: (2014) -
Enzyme Family Classification by Support Vector Machines
by: Cai, C.Z., et al.
Published: (2014) -
Prediction of functional class of novel viral proteins by a statistical learning method irrespective of sequence similarity
by: Han, L.Y., et al.
Published: (2014) -
Effect of training datasets on support vector machine prediction of protein-protein interactions
by: Lo, S.L., et al.
Published: (2014)