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

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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

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