Statistical learning approach for predicting specific pharmacodynamic, pharmacokinetic, or toxicological properties of pharmaceutical agents
10.1002/ddr.20044
Saved in:
Main Authors: | Li, H., Yap, C.W., Xue, Y., Li, Z.R., Ung, C.Y., Han, L.Y., Chen, Y.Z. |
---|---|
Other Authors: | COMPUTATIONAL SCIENCE |
Format: | Review |
Published: |
2014
|
Subjects: | |
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/102547 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Prediction of compounds with specific pharmacodynamic, pharmacokinetic or toxicological property by statistical learning methods
by: Yap, C.W., et al.
Published: (2014) -
Regression methods for developing QSAR and QSPR models to predict compounds of specific pharmacodynamic, pharmacokinetic and toxicological properties
by: Yap, C.W., et al.
Published: (2014) -
Regression methods for developing QSAR and QSPR models to predict compounds of specific pharmacodynamic, pharmacokinetic and toxicological properties
by: Yap, C.W., et al.
Published: (2014) -
MODEL - Molecular descriptor lab: A web-based server for computing structural and physicochemical features of compounds
by: Li, Z.R., et al.
Published: (2014) -
Computer prediction of cardiovascular and hematological agents by statistical learning methods
by: Chen, X., et al.
Published: (2014)