Methods for identifying SNP interactions: a review on variations of Logic Regression, Random Forest and Bayesian logistic regression CCM Chen, H Schwender, J Keith, R Nunkesser, K Mengersen, ... IEEE/ACM transactions on computational biology and bioinformatics 8 (6 …, 2011 | 116 | 2011 |
Agent-based models of malaria transmission: a systematic review NR Smith, JM Trauer, M Gambhir, JS Richards, RJ Maude, JM Keith, ... Malaria journal 17, 1-16, 2018 | 105 | 2018 |
Searching for convergence in phylogenetic Markov chain Monte Carlo RG Beiko, JM Keith, TJ Harlow, MA Ragan Systematic biology 55 (4), 553-565, 2006 | 70 | 2006 |
A simulated annealing algorithm for finding consensus sequences JM Keith, P Adams, D Bryant, DP Kroese, KR Mitchelson, DAE Cochran, ... Bioinformatics 18 (11), 1494-1499, 2002 | 62 | 2002 |
Sequence alignment by rare event simulation J Keith, DP Kroese Proceedings of the Winter Simulation Conference 1, 320-327, 2002 | 57 | 2002 |
Agent-based Bayesian approach to monitoring the progress of invasive species eradication programs JM Keith, D Spring Proceedings of the National Academy of Sciences 110 (33), 13428-13433, 2013 | 52 | 2013 |
Recent advances and future perspectives for automated parameterisation, Bayesian inference and machine learning in voltammetry L Gundry, SX Guo, G Kennedy, J Keith, M Robinson, D Gavaghan, ... Chemical Communications 57 (15), 1855-1870, 2021 | 47 | 2021 |
Adaptive independence samplers JM Keith, DP Kroese, GY Sofronov Statistics and Computing 18, 409-420, 2008 | 47 | 2008 |
Method for sequence analysis J Keith, D Bryant, P Adams US Patent App. 10/673,938, 2004 | 46 | 2004 |
Unlocking hidden genomic sequence JM Keith, DAE Cochran, GH Lala, P Adams, D Bryant, KR Mitchelson Nucleic acids research 32 (3), e35-e35, 2004 | 43 | 2004 |
Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges A Alahmadi, S Belet, A Black, D Cromer, JA Flegg, T House, ... Epidemics 32, 100393, 2020 | 40 | 2020 |
A generalized Markov sampler JM Keith, DP Kroese, D Bryant Methodology and Computing in Applied Probability 6, 29-53, 2004 | 40 | 2004 |
Estimating change-points in biological sequences via the cross-entropy method GE Evans, GY Sofronov, JM Keith, DP Kroese Annals of Operations Research 189, 155-165, 2011 | 39 | 2011 |
Linking species richness and size diversity in birds and fishes JDL Yen, JR Thomson, JM Keith, DM Paganin, E Fleishman, AF Bennett, ... Ecography 41 (12), 1979-1991, 2018 | 34 | 2018 |
Segmenting eukaryotic genomes with the generalized Gibbs sampler JM Keith Journal of Computational Biology 13 (7), 1369-1383, 2006 | 33 | 2006 |
Function regression in ecology and evolution: FREE JDL Yen, JR Thomson, DM Paganin, JM Keith, R Mac Nally Methods in Ecology and Evolution 6 (1), 17-26, 2015 | 30 | 2015 |
Calculation of IBD probabilities with dense SNP or sequence data JM Keith, A McRae, D Duffy, K Mengersen, PM Visscher Genetic Epidemiology: The Official Publication of the International Genetic …, 2008 | 29 | 2008 |
Bioinformatics: volume I data, sequence analysis and evolution (methods in molecular biology) JM Keith Humana Press, 2008 | 29 | 2008 |
A comparison of approximate versus exact techniques for Bayesian parameter inference in nonlinear ordinary differential equation models AA Alahmadi, JA Flegg, DG Cochrane, CC Drovandi, JM Keith Royal Society open science 7 (3), 191315, 2020 | 26 | 2020 |
Parallel cross-entropy optimization GE Evans, JM Keith, DP Kroese 2007 Winter Simulation Conference, 2196-2202, 2007 | 25 | 2007 |