Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis

LANCASHIRE, L., SCHMID, O., SHAH, H. and BALL, G., 2005. Classification of bacterial species from proteomic data using combinatorial approaches incorporating artificial neural networks, cluster analysis and principal components analysis. Bioinformatics, 21 (10), pp. 2191-2199. ISSN 1367-4803

Full text not available from this repository.
Item Type: Journal article
Publication Title: Bioinformatics
Creators: Lancashire, L., Schmid, O., Shah, H. and Ball, G.
Publisher: Oxford University Press
Place of Publication: Oxford
Date: 2005
Volume: 21
Number: 10
ISSN: 1367-4803
Identifiers:
NumberType
10.1093/bioinformatics/bti368DOI
Divisions: Schools > School of Science and Technology
Depositing User: EPrints Services
Date Added: 09 Oct 2015 10:17
Last Modified: 09 Jun 2017 13:24
URI: http://irep.ntu.ac.uk/id/eprint/10589

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year