Paul DW Kirk

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Michael P H StumpfProfessor of Theoretical Systems Biology, University of MelbourneVerified email at unimelb.edu.au
Sylvia RichardsonDirector of MRC Biostatistics Unit and Professor of Biostatistics, University of CambridgeVerified email at mrc-bsu.cam.ac.uk
Chris P BarnesUniversity College LondonVerified email at ucl.ac.uk
kathryn lilleyProfessor of Cellular DynamicsVerified email at cam.ac.uk
Oliver M. CrookFlorence Nightingale Fellow, University of OxfordVerified email at stats.ox.ac.uk
Laurent Gattode Duve Institute, UCLouvainVerified email at uclouvain.be
Stephen BurgessUniversity of Cambridge, MRC Biostatistics UnitVerified email at medschl.cam.ac.uk
Chris WallaceUniversity of CambridgeVerified email at cam.ac.uk
Juliane LiepeMax Planck Institute for Biophysical ChemistryVerified email at mpibpc.mpg.de
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Ann BabtieUniversity of ExeterVerified email at exeter.ac.uk
Sarah FilippiSenior Lecturer, Imperial College LondonVerified email at imperial.ac.uk
Jim GriffinUniversity College LondonVerified email at ucl.ac.uk
Lisa Breckels (née Simpson)University of CambridgeVerified email at cam.ac.uk
Shinya KurodaBiological Sciences, University of TokyoVerified email at bs.s.u-tokyo.ac.jp
Alex LewinAssociate Professor in Biostatistics, London School of Hygiene and Tropical MedicineVerified email at lshtm.ac.uk
Sungsam GongDepartment of Obstetrics and Gynaecology, University of CambridgeVerified email at cam.ac.uk
Ulla SovioPrincipal Research Associate in Applied Medical Statistics, University of CambridgeVerified email at medschl.cam.ac.uk
D. S Charnock-JonesProfessor of Reproductive Biology, University of CambridgeVerified email at cam.ac.uk
Francesca GaccioliSenior Research Associate, University of CambridgeVerified email at medschl.cam.ac.uk

Paul DW Kirk

University of Cambridge

Verified email at mrc-bsu.cam.ac.uk - Homepage

Biostatistics Machine Learning


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Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ... Nature communications 10 (1), 2674, 2019	331*	2019
A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits CN Foley, JR Staley, PG Breen, BB Sun, PDW Kirk, S Burgess, ... Nature communications 12 (1), 764, 2021	296	2021
Bayesian correlated clustering to integrate multiple datasets P Kirk, JE Griffin, RS Savage, Z Ghahramani, DL Wild Bioinformatics 28 (24), 3290-3297, 2012	261	2012
A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation J Liepe, P Kirk, S Filippi, T Toni, CP Barnes, MPH Stumpf Nature protocols 9 (2), 439-456, 2014	260	2014
ABC-SysBio—approximate Bayesian computation in Python with GPU support J Liepe, C Barnes, E Cule, K Erguler, P Kirk, T Toni, MPH Stumpf Bioinformatics 26 (14), 1797-1799, 2010	183	2010
Model selection in systems and synthetic biology P Kirk, T Thorne, MPH Stumpf Current opinion in biotechnology 24 (4), 767-774, 2013	152	2013
A comprehensive evaluation of nasal and bronchial cytokines and chemokines following experimental rhinovirus infection in allergic asthma: increased interferons (IFN-γ and IFN … TT Hansel, T Tunstall, MB Trujillo-Torralbo, B Shamji, A Del-Rosario, ... EBioMedicine 19, 128-138, 2017	137	2017
Topological sensitivity analysis for systems biology AC Babtie, P Kirk, MPH Stumpf Proceedings of the National Academy of Sciences 111 (52), 18507-18512, 2014	113	2014
The RNA landscape of the human placenta in health and disease S Gong, F Gaccioli, J Dopierala, U Sovio, E Cook, PJ Volders, L Martens, ... Nature Communications 12 (1), 2639, 2021	105	2021
Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data PDW Kirk, MPH Stumpf Bioinformatics 25 (10), 1300-1306, 2009	101	2009
Systems biology (un) certainties PDW Kirk, AC Babtie, MPH Stumpf Science 350 (6259), 386-388, 2015	93	2015
A general moment expansion method for stochastic kinetic models A Ale, P Kirk, MPH Stumpf The Journal of chemical physics 138 (17), 2013	85	2013
Multivariate moment closure techniques for stochastic kinetic models E Lakatos, A Ale, PDW Kirk, MPH Stumpf The Journal of chemical physics 143 (9), 2015	84	2015
Network topology and parameter estimation: from experimental design methods to gene regulatory network kinetics using a community based approach P Meyer, T Cokelaer, D Chandran, KH Kim, PR Loh, G Tucker, M Lipson, ... BMC systems biology 8, 1-18, 2014	81	2014
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements EJ Cooke, RS Savage, PDW Kirk, R Darkins, DL Wild BMC bioinformatics 12, 1-12, 2011	80	2011
Model selection in systems biology depends on experimental design D Silk, PDW Kirk, CP Barnes, T Toni, MPH Stumpf PLoS computational biology 10 (6), e1003650, 2014	74	2014
Longitudinal proteomic profiling of dialysis patients with COVID-19 reveals markers of severity and predictors of death J Gisby, CL Clarke, N Medjeral-Thomas, TH Malik, A Papadaki, ... Elife 10, e64827, 2021	73	2021
Robustness of MEK-ERK dynamics and origins of cell-to-cell variability in MAPK signaling S Filippi, CP Barnes, PDW Kirk, T Kudo, K Kunida, SS McMahon, ... Cell reports 15 (11), 2524-2535, 2016	71	2016
MR-Clust: clustering of genetic variants in Mendelian randomization with similar causal estimates CN Foley, AM Mason, PDW Kirk, S Burgess Bioinformatics 37 (4), 531-541, 2021	66	2021
A Bayesian mixture modelling approach for spatial proteomics OM Crook, CM Mulvey, PDW Kirk, KS Lilley, L Gatto PLoS computational biology 14 (11), e1006516, 2018	60	2018

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