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 | 317* | 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 | 264 | 2021 |
Bayesian correlated clustering to integrate multiple datasets P Kirk, JE Griffin, RS Savage, Z Ghahramani, DL Wild Bioinformatics 28 (24), 3290-3297, 2012 | 256 | 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 | 249 | 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 | 182 | 2010 |
Model selection in systems and synthetic biology P Kirk, T Thorne, MPH Stumpf Current opinion in biotechnology 24 (4), 767-774, 2013 | 148 | 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 | 128 | 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 | 111 | 2014 |
Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data PDW Kirk, MPH Stumpf Bioinformatics 25 (10), 1300-1306, 2009 | 99 | 2009 |
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 | 98 | 2021 |
Systems biology (un) certainties PDW Kirk, AC Babtie, MPH Stumpf Science 350 (6259), 386-388, 2015 | 91 | 2015 |
A general moment expansion method for stochastic kinetic models A Ale, P Kirk, MPH Stumpf The Journal of chemical physics 138 (17), 2013 | 84 | 2013 |
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 |
Multivariate moment closure techniques for stochastic kinetic models E Lakatos, A Ale, PDW Kirk, MPH Stumpf The Journal of chemical physics 143 (9), 2015 | 80 | 2015 |
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 | 79 | 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 | 70 | 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 | 67 | 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 | 61 | 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 |