Automated Alphabet Reduction for Protein Datasets

doi:10.1186/1471-2105-10-6

BMC Bioinformatics

Volume 10

Viewing options:

Abstract
Full text
PDF (366KB)
Additional files

Associated material:

Related literature:

Articles citing this article
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Bacardit J
Stout M
Hirst JD
Valencia A
Smith RE
Krasnogor N

on PubMed

Bacardit J
Stout M
Hirst JD
Valencia A
Smith RE
Krasnogor N
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Nominate for award

Post to:

Twitter

Research article

Automated Alphabet Reduction for Protein Datasets

Jaume Bacardit¹^,2 , Michael Stout¹^,2 , Jonathan D Hirst³ , Alfonso Valencia⁴ , Robert E Smith⁵ and Natalio Krasnogor¹

¹ASAP research group, School of Computer Science, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, UK

²MYCIB, School of Biosciences, University of Nottingham, Sutton Bonington, LE12 5RD, UK

³School of Chemistry, University of Nottingham, University Park, Nottingham, NG7 2RD, UK

⁴Spanish National Cancer Research Centre, Melchor Fdez Almagro, 3. 28029 Madrid, Spain

⁵Dept. of Computer Science, University College London, Gower Street, London, WC1E 6BT, UK

author email corresponding author email

BMC Bioinformatics 2009, 10:6doi:10.1186/1471-2105-10-6


Published:	6 January 2009

Additional files

Additional file 1:

Reduction groups obtained for all the training sets. This document lists 6 tables (3 reduction strategies and two datasets) containing the details of the reduction groups generated by our protocol for each of the ten training sets.

Format: PDF Size: 67KB Download file

This file can be viewed with: Adobe Acrobat Reader