Ensemble machine learning on gene expression data for cancer classification AC Tan, D Gilbert University of Glasgow, 2003 | 579 | 2003 |
Computational modelling of the receptor-tyrosine-kinase-activated MAPK pathway RJ Orton, OE Sturm, V Vyshemirsky, M Calder, DR Gilbert, W Kolch Biochemical Journal 392 (2), 249-261, 2005 | 538 | 2005 |
Approaches to the automatic discovery of patterns in biosequences A Brazma, I Jonassen, I Eidhammer, D Gilbert Journal of computational biology 5 (2), 279-305, 1998 | 477 | 1998 |
Petri nets for systems and synthetic biology M Heiner, D Gilbert, R Donaldson International school on formal methods for the design of computer …, 2008 | 425 | 2008 |
Cell fate decisions are specified by the dynamic ERK interactome A Von Kriegsheim, D Baiocchi, M Birtwistle, D Sumpton, W Bienvenut, ... Nature cell biology 11 (12), 1458-1464, 2009 | 348 | 2009 |
GeneRank: using search engine technology for the analysis of microarray experiments JL Morrison, R Breitling, DJ Higham, DR Gilbert BMC bioinformatics 6, 1-14, 2005 | 328 | 2005 |
The mammalian MAPK/ERK pathway exhibits properties of a negative feedback amplifier OE Sturm, R Orton, J Grindlay, M Birtwistle, V Vyshemirsky, D Gilbert, ... Science signaling 3 (153), ra90-ra90, 2010 | 293 | 2010 |
When kinases meet mathematics: the systems biology of MAPK signalling W Kolch, M Calder, D Gilbert FEBS letters 579 (8), 1891-1895, 2005 | 241 | 2005 |
Multi-class protein fold classification using a new ensemble machine learning approach AC Tan, D Gilbert, Y Deville Genome Informatics 14, 206-217, 2003 | 178 | 2003 |
Representing and analysing molecular and cellular function using the computer J Van Helden, A Naim, R Mancuso, M Eldridge, L Wernisch, D Gilbert, ... Biological chemistry 381 (9/10), 921-936, 2000 | 165 | 2000 |
An overview of data models for the analysis of biochemical pathways Y Deville, D Gilbert, J Van Helden, SJ Wodak Briefings in bioinformatics 4 (3), 246-259, 2003 | 163 | 2003 |
Feature selection and the class imbalance problem in predicting protein function from sequence A Al-Shahib, R Breitling, D Gilbert Applied Bioinformatics 4, 195-203, 2005 | 159 | 2005 |
From Petri nets to differential equations–an integrative approach for biochemical network analysis D Gilbert, M Heiner International Conference on Application and Theory of Petri Nets, 181-200, 2006 | 157 | 2006 |
A unifying framework for modelling and analysing biochemical pathways using Petri nets D Gilbert, M Heiner, S Lehrack International Conference on Computational Methods in Systems Biology, 200-216, 2007 | 144 | 2007 |
A lock-and-key model for protein–protein interactions JL Morrison, R Breitling, DJ Higham, DR Gilbert Bioinformatics 22 (16), 2012-2019, 2006 | 138 | 2006 |
TOPS: an enhanced database of protein structural topology I Michalopoulos, GM Torrance, DR Gilbert, DR Westhead Nucleic acids research 32 (suppl_1), D251-D254, 2004 | 129 | 2004 |
Motif-based searching in TOPS protein topology databases. D Gilbert, D Westhead, N Nagano, J Thornton Bioinformatics (Oxford, England) 15 (4), 317-326, 1999 | 125 | 1999 |
Computational methodologies for modelling, analysis and simulation of signalling networks D Gilbert, H Fuss, X Gu, R Orton, S Robinson, V Vyshemirsky, MJ Kurth, ... Briefings in Bioinformatics 7 (4), 339-353, 2006 | 124 | 2006 |
A model checking approach to the parameter estimation of biochemical pathways R Donaldson, D Gilbert International Conference on Computational Methods in Systems Biology, 269-287, 2008 | 119 | 2008 |
A model for interaction of agents and environments A Letichevsky, D Gilbert Recent Trends in Algebraic Development Techniques: 14th International …, 2000 | 118 | 2000 |