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Number of items: 8. ArticleHartl, Daniela, May, Patrick, Gu, Wei, Mayhaus, Manuel, Pichler, Sabrina, Spaniol, Christian, Glaab, Enrico, Bobbili, Dheeraj Reddy, Antony, Paul, Koegelsberger, Sandra, Kurz, Alexander, Grimmer, Timo, Morgan, Kevin, Vardarajan, Badri N., Reitz, Christiane, Hardy, John, Bras, Jose, Guerreiro, Rita, Balling, Rudi, Schneider, Jochen G. and Riemenschneider, Matthias (2018) A rare loss-of-function variant of ADAM17 is associated with late-onset familial Alzheimer disease. Molecular Psychiatry . ISSN 1476-5578 Glaab, Enrico, Bacardit, Jaume, 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 Bassel, George W., Glaab, Enrico, Marquez, Julietta, Holdsworth, Michael J. and Barcardit, Jaume (2011) Functional network construction in Arabidopsis using rule-based machine learning on large-scale data sets. Plant Cell, 23 (9). pp. 3101-3116. ISSN 1040-4651 Glaab, Enrico, Baudot, Anaïs, 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, Baudot, Anais, Krasnogor, Natalio and Valencia, Alfonso (2010) TopoGSA: network topological gene set analysis. Bioinformatics, 26 (9). pp. 1271-1272. ISSN 1367-4803 Glaab, Enrico, 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 Conference or Workshop ItemGlaab, Enrico, 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. Thesis (University of Nottingham only)Glaab, Enrico (2011) Analysing functional genomics data using novel ensemble, consensus and data fusion techniques. PhD thesis, University of Nottingham. |