Full Name
Han Lianyi
(not current staff)
Variants
Lian, Y.H.
Han, L.-Y.
Han, L.Y.
Lianyi, H.
Han, L.
 
Main Affiliation
 
 
Email
cschl@nus.edu.sg
 

Publications

Refined By:
Author:  Han, L.Y.
Author:  Cao, Z.W.

Results 1-9 of 9 (Search time: 0.007 seconds).

Issue DateTitleAuthor(s)
1Jun-2008A support vector machines approach for virtual screening of active compounds of single and multiple mechanisms from large libraries at an improved hit-rate and enrichment factorHan, L.Y. ; Ma, X.H. ; Lin, H.H.; Jia, J.; Zhu, F. ; Xue, Y.; Li, Z.R.; Cao, Z.W.; Ji, Z.L.; Chen, Y.Z. 
2Jan-2007Computer prediction of allergen proteins from sequence-derived protein structural and physicochemical propertiesCui, J.; Han, L.Y. ; Li, H. ; Ung, C.Y. ; Tang, Z.Q.; Zheng, C.J. ; Cao, Z.W.; Chen, Y.Z. 
330-Dec-2006Database of traditional Chinese medicine and its application to studies of mechanism and to prescription validationChen, X.; Zhou, H.; Liu, Y.B.; Wang, J.F.; Li, H. ; Ung, C.Y. ; Han, L.Y. ; Cao, Z.W.; Chen, Y.Z. 
4Jun-2006Information of ADME-associated proteins and potential application for pharmacogenetic prediction of drug responsesZheng, C.J. ; Han, L.Y. ; Chen, X.; Cao, Z.W.; Cui, J.; Lin, H.H.; Zhang, H.L.; Li, H. ; Chen, Y.Z. 
5Aug-2006MHC-BPS: MHC-binder prediction server for identifying peptides of flexible lengths from sequence-derived physicochemical propertiesCui, J.; Han, L.Y. ; Lin, H.H.; Tang, Z.Q.; Jiang, L. ; Cao, Z.W.; Chen, Y.Z. 
61-Jul-2004MoViES: Molecular vibrations evaluation server for analysis of fluctuational dynamics of proteins and nucleic acidsCao, Z.W. ; Xue, Y.; Han, L.Y. ; Xie, B.; Zhou, H.; Zheng, C.J. ; Lin, H.H.; Chen, Y.Z. 
72004Predicting functional family of novel enzymes irrespective of sequence similarity: A statistical learning approachHan, L.Y. ; Cai, C.Z. ; Ji, Z.L.; Cao, Z.W.; Cui, J.; Chen, Y.Z. 
8Sep-2005Prediction of functional class of the SARS coronavirus proteins by a statistical learning methodCai, C.Z. ; Han, L.Y. ; Chen, X.; Cao, Z.W.; Chen, Y.Z. 
918-Dec-2006Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approachLin, H.H.; Han, L.Y. ; Zhang, H.L.; Zheng, C.J. ; Xie, B.; Cao, Z.W.; Chen, Y.Z.