Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods

10.1016/j.jmgm.2006.01.007

Saved in:

Bibliographic Details
Main Authors:	Li, H., Ung, C.Y., Yap, C.W., Xue, Y., Li, Z.R., Chen, Y.Z.
Other Authors:	PHARMACY
Format:	Article
Published:	2014
Subjects:	Classification Estrogen receptor (ER) Estrogen receptor agonists Molecular descriptors Statistical learning methods (SLMs) Support vector machine (SVM)
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/76796
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-76796
record_format	dspace
spelling	sg-nus-scholar.10635-767962023-10-30T20:54:58Z Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods Li, H. Ung, C.Y. Yap, C.W. Xue, Y. Li, Z.R. Chen, Y.Z. PHARMACY BIOCHEMISTRY Classification Estrogen receptor (ER) Estrogen receptor agonists Molecular descriptors Statistical learning methods (SLMs) Support vector machine (SVM) 10.1016/j.jmgm.2006.01.007 Journal of Molecular Graphics and Modelling 25 3 313-323 JMGMF 2014-06-23T05:47:10Z 2014-06-23T05:47:10Z 2006-11 Article Li, H., Ung, C.Y., Yap, C.W., Xue, Y., Li, Z.R., Chen, Y.Z. (2006-11). Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods. Journal of Molecular Graphics and Modelling 25 (3) : 313-323. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jmgm.2006.01.007 10933263 http://scholarbank.nus.edu.sg/handle/10635/76796 000242696800005 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Classification Estrogen receptor (ER) Estrogen receptor agonists Molecular descriptors Statistical learning methods (SLMs) Support vector machine (SVM)
spellingShingle	Classification Estrogen receptor (ER) Estrogen receptor agonists Molecular descriptors Statistical learning methods (SLMs) Support vector machine (SVM) Li, H. Ung, C.Y. Yap, C.W. Xue, Y. Li, Z.R. Chen, Y.Z. Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
description	10.1016/j.jmgm.2006.01.007
author2	PHARMACY
author_facet	PHARMACY Li, H. Ung, C.Y. Yap, C.W. Xue, Y. Li, Z.R. Chen, Y.Z.
format	Article
author	Li, H. Ung, C.Y. Yap, C.W. Xue, Y. Li, Z.R. Chen, Y.Z.
author_sort	Li, H.
title	Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
title_short	Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
title_full	Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
title_fullStr	Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
title_full_unstemmed	Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
title_sort	prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/76796
_version_	1781783660911919104

Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods

Similar Items