Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach

10.1186/1471-2105-7-S5-S13

Saved in:

Bibliographic Details
Main Authors:	Lin, H.H., Han, L.Y., Zhang, H.L., Zheng, C.J., Xie, B., Cao, Z.W., Chen, Y.Z.
Other Authors:	PHARMACY
Format:	Article
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/106246
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-106246
record_format	dspace
spelling	sg-nus-scholar.10635-1062462024-11-11T04:34:48Z Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach Lin, H.H. Han, L.Y. Zhang, H.L. Zheng, C.J. Xie, B. Cao, Z.W. Chen, Y.Z. PHARMACY 10.1186/1471-2105-7-S5-S13 BMC Bioinformatics 7 SUPPL.5 - BBMIC 2014-10-29T01:57:14Z 2014-10-29T01:57:14Z 2006-12-18 Article Lin, H.H., Han, L.Y., Zhang, H.L., Zheng, C.J., Xie, B., Cao, Z.W., Chen, Y.Z. (2006-12-18). Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach. BMC Bioinformatics 7 (SUPPL.5) : -. ScholarBank@NUS Repository. https://doi.org/10.1186/1471-2105-7-S5-S13 14712105 http://scholarbank.nus.edu.sg/handle/10635/106246 000244789800013 Scopus
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
description	10.1186/1471-2105-7-S5-S13
author2	PHARMACY
author_facet	PHARMACY Lin, H.H. Han, L.Y. Zhang, H.L. Zheng, C.J. Xie, B. Cao, Z.W. Chen, Y.Z.
format	Article
author	Lin, H.H. Han, L.Y. Zhang, H.L. Zheng, C.J. Xie, B. Cao, Z.W. Chen, Y.Z.
spellingShingle	Lin, H.H. Han, L.Y. Zhang, H.L. Zheng, C.J. Xie, B. Cao, Z.W. Chen, Y.Z. Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
author_sort	Lin, H.H.
title	Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
title_short	Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
title_full	Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
title_fullStr	Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
title_full_unstemmed	Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
title_sort	prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/106246
_version_	1821193713685102592

Prediction of the functional class of metal-binding proteins from sequence derived physicochemical properties by support vector machine approach

Similar Items