Real-time selective sequencing using nanopore technology M Loose, S Malla, M Stout Nature Methods - Advanced Online Publication, doi:10.1038/nmeth.3930, 2016 | 330 | 2016 |
Real time selective sequencing using nanopore technology. M Loose, S Malla, M Stout bioRxiv, 038760, 2016 | 330 | 2016 |
Automated alphabet reduction for protein datasets J Bacardit, M Stout, JD Hirst, A Valencia, RE Smith, N Krasnogor BMC bioinformatics 10 (1), 6, 2009 | 68 | 2009 |
Mechanical modelling quantifies the functional importance of outer tissue layers during root elongation and bending RJ Dyson, G Vizcay‐Barrena, LR Band, AN Fernandes, AP French, ... New Phytologist 202 (4), 1212-1222, 2014 | 62 | 2014 |
Automated alphabet reduction method with evolutionary algorithms for protein structure prediction J Bacardit, M Stout, JD Hirst, K Sastry, X Llorà, N Krasnogor Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 62 | 2007 |
Genetic regulation of the quinic acid utilization (QUT) gene cluster in Aspergillus nidulans S GRANT, CF Roberts, H LAMB, M Stout, AR Hawkins Journal of general microbiology 134 (2), 347-358, 1988 | 61 | 1988 |
Prediction of recursive convex hull class assignments for protein residues M Stout, J Bacardit, JD Hirst, N Krasnogor Bioinformatics 24 (7), 916-923, 2008 | 58 | 2008 |
Prediction of topological contacts in proteins using learning classifier systems M Stout, J Bacardit, JD Hirst, RE Smith, N Krasnogor Soft Computing 13 (3), 245-258, 2009 | 44 | 2009 |
Coordination number prediction using learning classifier systems: performance and interpretability J Bacardit, M Stout, N Krasnogor, JD Hirst, J Blazewicz Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006 | 28 | 2006 |
From HP lattice models to real proteins: coordination number prediction using learning classifier systems M Stout, J Bacardit, JD Hirst, N Krasnogor, J Blazewicz Applications of Evolutionary Computing, 208-220, 2006 | 19 | 2006 |
A learning classifier system with mutual-information-based fitness RE Smith, MK Jiang, J Bacardit, M Stout, N Krasnogor, JD Hirst Evolutionary Intelligence 3 (1), 31-50, 2010 | 16 | 2010 |
Data mining in proteomics with learning classifier systems J Bacardit, M Stout, JD Hirst, N Krasnogor Learning Classifier Systems in Data Mining, 17-46, 2008 | 9 | 2008 |
Prediction of residue exposure and contact number for simplified hp lattice model proteins using learning classifier systems M Stout, J Bacardit, JD Hirst, J Blazewicz, N Krasnogor Applied Artificial Intelligence 10, 9789812774118_0085, 2006 | 5 | 2006 |
A Bayesian approach to analyzing phenotype microarray data enables estimation of microbial growth parameters M Gerstgrasser, S Nicholls, M Stout, K Smart, C Powell, T Kypraios, ... Journal of Bioinformatics and Computational Biology, 2015 | 4 | 2015 |
A tale of human-competitiveness in bioinformatics J Bacardit, M Stout, N Krasnogor ACM SIGEVOlution 3 (1), 2-10, 2008 | | 2008 |
Real time selective sequencing using nanopore technology-Supplementary Material M Loose, S Malla, M Stout | | |
Prediction of Recursive Convex Hull Class Assignments for Protein Residues: Supplementary Material M Stout, J Bacardit, JD Hirst, N Krasnogor | | |