Browse by Authors and Editors
Number of items: 8.
Figueredo, Grazziela P. and Siebers, Peer-Olaf and Aickelin, Uwe and Foan, Stephanie (2012) A beginner's guide to systems simulation in immunology. In: Artificial immune systems: 11th International Conference, ICARIS 2012, Taormina, Italy, August 28-31, 2012: proceedings. Lecture notes in computer science (7597). Springer, Berlin, pp. 57-71. ISBN 9783642337574
Glaab, Enrico and Garibaldi, Jon and Krasnogor, Natalio (2009) ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization. BMC Bioinformatics, 10 . Article 358. ISSN 1471-2105
Lui, Leong T. and Xue, Xuan and Sui, Cheng and Brown, Alan and Pritchard, David I. and Halliday, Nigel and Winzer, Klaus and Howdle, Stephen M. and Fernandez-Trillo, Francisco and Krasnogor, Natalio and Alexander, Cameron (2013) Bacteria clustering by polymers induces the expression of quorum sense controlled phenotypes. Nature Chemistry, 5 (12). pp. 1058-1065. ISSN 1755-4349
Bacardit, Jaume and Krasnogor, Natalio (2006) BioHEL: Bioinformatics-oriented Hierarchical Evolutionary Learning. Technical Report. Computer Science & IT, University of Nottingham. (Unpublished)
Glaab, Enrico and Baudot, Anaïs and Krasnogor, Natalio and Valencia, Alfonso (2010) Extending pathways and processes using molecular interaction networks to analyse cancer genome data. BMC Bioinformatics, 11 (597). pp. 1-11. ISSN 1471-2105
Glaab, Enrico and Garibaldi, Jonathan M. and Krasnogor, Natalio (2010) Learning pathway-based decision rules to classify microarray cancer samples. In: 25th German Conference on Bioinformatics 2010, 20-22 Sept 2010, Braunschweig, Germany.
Glaab, Enrico and Baudot, Anais and Krasnogor, Natalio and Valencia, Alfonso (2010) TopoGSA: network topological gene set analysis. Bioinformatics, 26 (9). pp. 1271-1272. ISSN 1367-4803
Glaab, Enrico and Bacardit, Jaume and Garibaldi, Jonathan M. and Krasnogor, Natalio (2012) Using rule-based machine learning for candidate disease gene prioritization and sample classification of cancer gene expression data. PLoS ONE, 7 (7). e39932. ISSN 1932-6203