Darren Wilkinson

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Richard BoysProfessor of Applied Statistics, Newcastle University, UKVerified email at ncl.ac.uk
Colin S GillespieSenior Statistics Lecturer, Newcastle UniversityVerified email at newcastle.ac.uk
Tom KirkwoodNewcastle University and University of Copenhagen; University of Manchester; National Institute forVerified email at ncl.ac.uk
Andrew GolightlyDurham University, UKVerified email at durham.ac.uk
David LydallNewcastle UniversityVerified email at ncl.ac.uk
Conor LawlessNewcastle UniversityVerified email at ncl.ac.uk
Michael HuckaCalifornia Institute of TechnologyVerified email at caltech.edu
Sarah KeatingUCLVerified email at ucl.ac.uk
Stefan HoopsResearch Associate Professor, Biocomplexity Institute & Initiative, University of VirginiaVerified email at virginia.edu
Sven SahleUniversität HeidelbergVerified email at bioquant.uni-heidelberg.de
Carole ProctorNewcastle UniversityVerified email at ncl.ac.uk
Daryl ShanleyNewcastle UniversityVerified email at ncl.ac.uk
Anil WipatProfessor of Bioinformatics Newcastle UniversityVerified email at ncl.ac.uk
Lucian SmithUniversity of WashingtonVerified email at uw.edu
Thomas CurtisNewcastle UniversityVerified email at ncl.ac.uk
Daniel A HendersonNewcastle University, UKVerified email at ncl.ac.uk
Chris MyersUniversity of UtahVerified email at ece.utah.edu
Oluwole K. OyebamijiDeepMind Academic Fellow, University of BirminghamVerified email at bham.ac.uk
Pahala Gedara JayathilakeResearch Scientist, Cancer Research UK Scotland InstituteVerified email at crukscotlandinstitute.ac.uk
Bowen LiResearch Software Engineer, Newcastle UniversityVerified email at ncl.ac.uk

Darren Wilkinson

Professor of Statistics, Durham University, U.K.

Verified email at durham.ac.uk - Homepage

Bayesian inference stochastic modelling computational systems biology genomics machine learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Stochastic modelling for systems biology DJ Wilkinson Chapman and Hall/CRC, 2018	1499	2018
Stochastic modelling for quantitative description of heterogeneous biological systems DJ Wilkinson Nature Reviews Genetics 10 (2), 122-133, 2009	675	2009
Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte Carlo A Golightly, DJ Wilkinson Interface focus 1 (6), 807-820, 2011	352	2011
Controlled vocabularies and semantics in systems biology M Courtot, N Juty, C Knüpfer, D Waltemath, A Zhukova, A Dräger, ... Molecular systems biology 7 (1), 543, 2011	339	2011
Do simple models lead to generality in ecology? MR Evans, V Grimm, K Johst, T Knuuttila, R De Langhe, CM Lessells, ... Trends in ecology & evolution 28 (10), 578-583, 2013	329	2013
Bayesian inference for a discretely observed stochastic kinetic model RJ Boys, DJ Wilkinson, TBL Kirkwood Statistics and Computing 18, 125-135, 2008	324	2008
Bayesian methods in bioinformatics and computational systems biology DJ Wilkinson Briefings in bioinformatics 8 (2), 109-116, 2007	296	2007
Bayesian inference for stochastic kinetic models using a diffusion approximation A Golightly, DJ Wilkinson Biometrics 61 (3), 781-788, 2005	271	2005
Bayesian inference for nonlinear multivariate diffusion models observed with error A Golightly, DJ Wilkinson Computational Statistics & Data Analysis 52 (3), 1674-1693, 2008	268	2008
A review of stochastic block models and extensions for graph clustering C Lee, DJ Wilkinson Applied Network Science 4 (1), 1-50, 2019	241	2019
SBML Level 3: an extensible format for the exchange and reuse of biological models SM Keating, D Waltemath, M König, F Zhang, A Dräger, C Chaouiya, ... Molecular systems biology 16 (8), e9110, 2020	212	2020
EBI Metagenomics in 2017: enriching the analysis of microbial communities, from sequence reads to assemblies AL Mitchell, M Scheremetjew, H Denise, S Potter, A Tarkowska, ... Nucleic acids research 46 (D1), D726-D735, 2018	195	2018
Bayesian sequential inference for nonlinear multivariate diffusions A Golightly, DJ Wilkinson Statistics and Computing 16, 323-338, 2006	169	2006
The systems biology markup language (SBML): Language specification for level 3 version 1 core L Smith, D Wilkinson, M Hucka, F Bergmann, S Hoops, S Keating, S Sahle, ... Nature Precedings, 1-1, 2010	168*	2010
Bayesian sequential inference for stochastic kinetic biochemical network models A Golightly, DJ Wilkinson Journal of Computational Biology 13 (3), 838-851, 2006	140	2006
Towards an e-biology of ageing: integrating theory and data TBL Kirkwood, RJ Boys, CS Gillespie, CJ Proctor, DP Shanley, ... Nature Reviews Molecular Cell Biology 4 (3), 243-249, 2003	137	2003
Parallel bayesian computation DJ Wilkinson Statistics Textbooks and Monographs 184, 477, 2006	135	2006
Detecting homogeneous segments in DNA sequences by using hidden Markov models RJ Boys, DA Henderson, DJ Wilkinson Journal of the Royal Statistical Society: Series C (Applied Statistics) 49 …, 2000	116	2000
MGnify: the microbiome sequence data analysis resource in 2023 L Richardson, B Allen, G Baldi, M Beracochea, ML Bileschi, T Burdett, ... Nucleic Acids Research 51 (D1), D753-D759, 2023	111	2023
A Genomewide Suppressor and Enhancer Analysis of cdc13-1 Reveals Varied Cellular Processes Influencing Telomere Capping in Saccharomyces cerevisiae SG Addinall, M Downey, M Yu, MK Zubko, J Dewar, A Leake, J Hallinan, ... Genetics 180 (4), 2251-2266, 2008	106	2008

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