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. ORCID: 0000-0001-5828-7129, 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:	Number Type 10.1093/bioinformatics/bti368 DOI
Divisions:	Schools > School of Science and Technology
Record created by:	EPrints Services
Date Added:	09 Oct 2015 10:17
Last Modified:	09 Jun 2017 13:24
URI:	https://irep.ntu.ac.uk/id/eprint/10589

Actions (login required)

Edit View

Views

Downloads