| Stochastic modelling for systems biology DJ Wilkinson Chapman and Hall/CRC, 2018 | 1493 | 2018 |
| Stochastic modelling for quantitative description of heterogeneous biological systems DJ Wilkinson Nature Reviews Genetics 10 (2), 122-133, 2009 | 674 | 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 | 328 | 2013 |
| Bayesian inference for a discretely observed stochastic kinetic model RJ Boys, DJ Wilkinson, TBL Kirkwood Statistics and Computing 18, 125-135, 2008 | 323 | 2008 |
| Bayesian methods in bioinformatics and computational systems biology DJ Wilkinson Briefings in bioinformatics 8 (2), 109-116, 2007 | 294 | 2007 |
| Bayesian inference for stochastic kinetic models using a diffusion approximation A Golightly, DJ Wilkinson Biometrics 61 (3), 781-788, 2005 | 270 | 2005 |
| Bayesian inference for nonlinear multivariate diffusion models observed with error A Golightly, DJ Wilkinson Computational Statistics & Data Analysis 52 (3), 1674-1693, 2008 | 267 | 2008 |
| A review of stochastic block models and extensions for graph clustering C Lee, DJ Wilkinson Applied Network Science 4 (1), 1-50, 2019 | 236 | 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 |
| 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 | 167* | 2010 |
| Bayesian sequential inference for nonlinear multivariate diffusions A Golightly, DJ Wilkinson Statistics and Computing 16, 323-338, 2006 | 167 | 2006 |
| Bayesian sequential inference for stochastic kinetic biochemical network models A Golightly, DJ Wilkinson Journal of Computational Biology 13 (3), 838-851, 2006 | 139 | 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 | 109 | 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 |
Richard BoysProfessor of Applied Statistics, Newcastle University, UK在 ncl.ac.uk 的电子邮件经过验证
