Effect of training data size and noise level on support vector machines virtual screening of genotoxic compounds from large compound libraries
10.1007/s10822-011-9431-3
Saved in:
Main Authors: | Kumar, P., Ma, X., Liu, X., Jia, J., Bucong, H., Xue, Y., Li, Z.R., Yang, S.Y., Wei, Y.Q., Chen, Y.Z. |
---|---|
Other Authors: | PHARMACY |
Format: | Article |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/105889 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Combinatorial support vector machines approach for virtual screening of selective multi-target serotonin reuptake inhibitors from large compound libraries
by: Shi, Z., et al.
Published: (2014) -
Development and experimental test of support vector machines virtual screening method for searching Src inhibitors from large compound libraries
by: Han, B., et al.
Published: (2014) -
Identification of small molecule aggregators from large compound libraries by support vector machines
by: Rao, H., et al.
Published: (2014) -
Application of support vector machines to in silico prediction of cytochrome P450 enzyme substrates and inhibitors
by: Yap, C.W., et al.
Published: (2014) -
Identifying novel type ZBGs and nonhydroxamate HDAC inhibitors through a SVM based virtual screening approach
by: Liu, X.H., et al.
Published: (2014)