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C W Yap

Showing results (11-20 of 24) with videos related to

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Journal of Molecular Graphics & Modelling|February 25, 2006
Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methodsH Li, C Y Ung, C W Yap, et al.
Bioinformatics (Oxford, England)|April 3, 2004
TRMP: a database of therapeutically relevant multiple pathwaysC J Zheng, H Zhou, B Xie, et al.
Journal of Chemical Information and Computer Sciences|September 28, 2004
Effect of molecular descriptor feature selection in support vector machine classification of pharmacokinetic and toxicological properties of chemical agentsY Xue, Z R Li, C W Yap, et al.
Journal of Chemical Information and Computer Sciences|July 27, 2004
Prediction of P-glycoprotein substrates by a support vector machine approachY Xue, C W Yap, L Z Sun, et al.
Pharmacological Reviews|May 23, 2006
Therapeutic targets: progress of their exploration and investigation of their characteristicsC J Zheng, L Y Han, C W Yap, et al.
Biotechnology and Bioengineering|October 3, 2006
MODEL-molecular descriptor lab: a web-based server for computing structural and physicochemical features of compoundsZ R Li, L Y Han, Y Xue, et al.
Chemical Research in Toxicology|June 21, 2005
Prediction of genotoxicity of chemical compounds by statistical learning methodsH Li, C Y Ung, C W Yap, et al.
Journal of Molecular Graphics & Modelling|April 10, 2007
Prediction of factor Xa inhibitors by machine learning methodsH H Lin, L Y Han, C W Yap, et al.
Cardiovascular & Hematological Agents in Medicinal Chemistry|February 3, 2007
Computer prediction of cardiovascular and hematological agents by statistical learning methodsX Chen, H Li, C W Yap, et al.
Journal of Pharmaceutical Sciences|September 6, 2007
Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteinsH Li, C W Yap, C Y Ung, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
Journal of Molecular Graphics & Modelling|February 25, 2006
Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methodsH Li, C Y Ung, C W Yap, et al.
Bioinformatics (Oxford, England)|April 3, 2004
TRMP: a database of therapeutically relevant multiple pathwaysC J Zheng, H Zhou, B Xie, et al.
Journal of Chemical Information and Computer Sciences|September 28, 2004
Effect of molecular descriptor feature selection in support vector machine classification of pharmacokinetic and toxicological properties of chemical agentsY Xue, Z R Li, C W Yap, et al.
Journal of Chemical Information and Computer Sciences|July 27, 2004
Prediction of P-glycoprotein substrates by a support vector machine approachY Xue, C W Yap, L Z Sun, et al.
Pharmacological Reviews|May 23, 2006
Therapeutic targets: progress of their exploration and investigation of their characteristicsC J Zheng, L Y Han, C W Yap, et al.
Biotechnology and Bioengineering|October 3, 2006
MODEL-molecular descriptor lab: a web-based server for computing structural and physicochemical features of compoundsZ R Li, L Y Han, Y Xue, et al.
Chemical Research in Toxicology|June 21, 2005
Prediction of genotoxicity of chemical compounds by statistical learning methodsH Li, C Y Ung, C W Yap, et al.
Journal of Molecular Graphics & Modelling|April 10, 2007
Prediction of factor Xa inhibitors by machine learning methodsH H Lin, L Y Han, C W Yap, et al.
Cardiovascular & Hematological Agents in Medicinal Chemistry|February 3, 2007
Computer prediction of cardiovascular and hematological agents by statistical learning methodsX Chen, H Li, C W Yap, et al.
Journal of Pharmaceutical Sciences|September 6, 2007
Machine learning approaches for predicting compounds that interact with therapeutic and ADMET related proteinsH Li, C W Yap, C Y Ung, et al.
Pageof 3