David Gilbert
David Gilbert
Professor of Computer Science, Brunel University
Verified email at - Homepage
Cited by
Cited by
Ensemble machine learning on gene expression data for cancer classification
AC Tan, D Gilbert
University of Glasgow, 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
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
Petri nets for systems and synthetic biology
M Heiner, D Gilbert, R Donaldson
International school on formal methods for the design of computerá…, 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
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
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
When kinases meet mathematics: the systems biology of MAPK signalling
W Kolch, M Calder, D Gilbert
FEBS letters 579 (8), 1891-1895, 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
Representing and analysing molecular and cellular function in the computer
J Van Helden, A Naim, R Mancuso, M Eldridge, L Wernisch, D Gilbert, ...
Biological chemistry 381 (9-10), 921-935, 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
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
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
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
A lock-and-key model for protein–protein interactions
JL Morrison, R Breitling, DJ Higham, DR Gilbert
Bioinformatics 22 (16), 2012-2019, 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
Motif-based searching in TOPS protein topology databases.
D Gilbert, D Westhead, N Nagano, J Thornton
Bioinformatics (Oxford, England) 15 (4), 317-326, 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
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
A model for interaction of agents and environments
A Letichevsky, D Gilbert
Recent Trends in Algebraic Development Techniques: 14th Internationalá…, 2000
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