Paul D. W. Kirk

27 papers Journal 27
YearRankTypeTitle / Venue / Authors
2025 J jnl
DECOVID: A UK Two-Center Harmonized Database of Acute Care Electronic Health Records for COVID-19 Research.
Data
Louis J. M. Aslett, Andreea Avramescu, Nicholas Bakewell, Isabel Birds, Louise Bowler, Michael P. J. Camilleri, Sheng-Chia Chung, David A. Clifton, Samuel N. Cohen, Nathan Constantine-Cooke, Eric G. Daub, Shaun M. Davidson, Spiros C. Denaxas, Karla Diaz-Ordaz, Richard Feltbower, Suzy Gallier, Stephen Gardiner, Francesca Gasperoni, Robert J. B. Goudie, Rebecca E. Green, Marlous S. Hall, Chris Holmes, John R. Hurst, Mark M. Iles, João Jorge, Emma Karoune, Ruth H. Keogh, Ruairidh King, Ruth King, Paul D. W. Kirk, Roman Klapaukh, Samaneh Kouchaki, Alvina Grace Lai, Nathan Lea, Clemence Leyrat, Kezhi Li, Watjana Lilaonitkul, Huiqi Y. Lu, Terry Lyons, Ann-Marie Mallon, Andrew A. Manderson, Nicolò Margaritella, Joshua Matteson, Sam Morley, Hannah Nicholls, Martin T. O'Reilly, Christina Pagel, Edward Palmer, Jack Roberts, Timothy J. Roberts, David S. Robertson, James Robinson, Patrick Rockenschaub, Roy A. Ruddle, Elizabeth Sapey, Luis Santos, Andrew A. S. Soltan, Fang Gao-Smith, Colin Starr, Oliver Strickson, Li Su, Mia S. Tackney, Johan Hilge Thygesen, Ana Torralbo, Alice M. Turner, Catalina A. Vallejos, Chenyang Wang, Kirstie J. Whitaker, Tony Whitehouse, David R. Westhead, Wai Keong Wong, Yue Wu, Lingyi Yang, Xiaoxu Zou
2025 J jnl
Federated Variational Inference for Bayesian Mixture Models.
CoRR
Jackie Rao, Francesca Crowe, Tom Marshall, Sylvia Richardson, Paul D. W. Kirk
2025 J jnl
Outcome-guided spike-and-slab Lasso Biclustering: A Novel Approach for Enhancing Biclustering Techniques for Gene Expression Analysis.
Stat. Comput.
Luis Vargas Mieles, Paul D. W. Kirk, Chris Wallace
2024 J jnl
Bayesian clustering with uncertain data.
PLoS Comput. Biol.
Kath Nicholls, Paul D. W. Kirk, Chris Wallace
2024 J jnl
Permutation invariant multi-output Gaussian Processes for drug combination prediction in cancer.
CoRR
Leiv Rønneberg, Vidhi Lalchand, Paul D. W. Kirk
2024 J jnl
VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data.
CoRR
Paul D. W. Kirk, Jackie Rao
2023 J jnl
Dose-response prediction for in-vitro drug combination datasets: a probabilistic approach.
BMC Bioinform.
Leiv Rønneberg, Paul D. W. Kirk, Manuela Zucknick
2022 J jnl
Consensus clustering for Bayesian mixture models.
BMC Bioinform.
Stephen Coleman, Paul D. W. Kirk, Chris Wallace
2022 J jnl
Topological approximate Bayesian computation for parameter inference of an angiogenesis model.
Bioinform.
Thomas Thorne, Paul D. W. Kirk, Heather A. Harrington
2021 J jnl
Detection of quantitative trait loci from RNA-seq data with or without genotypes using BaseQTL.
Nat. Comput. Sci.
Elena Vigorito, Wei-Yu Lin, Colin Starr, Paul D. W. Kirk, Simon R. White, Chris Wallace
2021 J jnl
MR-Clust: clustering of genetic variants in Mendelian randomization with similar causal estimates.
Bioinform.
Christopher N. Foley, Amy M. Mason, Paul D. W. Kirk, Stephen Burgess
2020 J jnl
A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection.
PLoS Comput. Biol.
Oliver M. Crook, Aikaterini Geladaki, Daniel J. H. Nightingale, Owen L. Vennard, Kathryn S. Lilley, Laurent Gatto, Paul D. W. Kirk
2020 J jnl
GPseudoClust: deconvolution of shared pseudo-profiles at single-cell resolution.
Bioinform.
Magdalena E. Strauß, Paul D. W. Kirk, John E. Reid, Lorenz Wernisch
2020 J jnl
Multiple kernel learning for integrative consensus clustering of omic datasets.
Bioinform.
Alessandra Cabassi, Paul D. W. Kirk
2019 J jnl
A Bioconductor workflow for the Bayesian analysis of spatial proteomics.
F1000Research
Oliver M. Crook, Lisa M. Breckels, Kathryn S. Lilley, Paul D. W. Kirk, Laurent Gatto
2019 J jnl
Multiple kernel learning for integrative consensus clustering of genomic datasets.
CoRR
Alessandra Cabassi, Paul D. W. Kirk
2018 J jnl
A Bayesian mixture modelling approach for spatial proteomics.
PLoS Comput. Biol.
Oliver M. Crook, Claire M. Mulvey, Paul D. W. Kirk, Kathryn S. Lilley, Laurent Gatto
2016 J jnl
Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.
BMC Syst. Biol.
Oleg Lenive, Paul D. W. Kirk, Michael P. H. Stumpf
2016 J jnl
MEANS: python package for Moment Expansion Approximation, iNference and Simulation.
Bioinform.
Sisi Fan, Quentin Geissmann, Eszter Lakatos, Saulius Lukauskas, Angelique Ale, Ann C. Babtie, Paul D. W. Kirk, Michael P. H. Stumpf
2015 J jnl
SYSBIONS: nested sampling for systems biology.
Bioinform.
Rob Johnson, Paul D. W. Kirk, Michael P. H. Stumpf
2014 J jnl
Derivative processes for modelling metabolic fluxes.
Bioinform.
Justina Zurauskiene, Paul D. W. Kirk, Thomas Thorne, John Pinney, Michael P. H. Stumpf
2014 J jnl
Model Selection in Systems Biology Depends on Experimental Design.
PLoS Comput. Biol.
Daniel Silk, Paul D. W. Kirk, Chris P. Barnes, Tina Toni, Michael P. H. Stumpf
2013 J jnl
Balancing the Robustness and Predictive Performance of Biomarkers.
J. Comput. Biol.
Paul D. W. Kirk, Aviva Witkover, Charles R. M. Bangham, Sylvia Richardson, Alexandra M. Lewin, Michael P. H. Stumpf
2012 J jnl
Bayesian correlated clustering to integrate multiple datasets.
Bioinform.
Paul D. W. Kirk, Jim E. Griffin, Richard S. Savage, Zoubin Ghahramani, David L. Wild
2011 J jnl
Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements.
BMC Bioinform.
Emma J. Cooke, Richard S. Savage, Paul D. W. Kirk, Robert Darkins, David L. Wild
2010 J jnl
ABC-SysBio - approximate Bayesian computation in Python with GPU support.
Bioinform.
Juliane Liepe, Chris P. Barnes, Erika Cule, Kamil Erguler, Paul D. W. Kirk, Tina Toni, Michael P. H. Stumpf
2009 J jnl
Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data.
Bioinform.
Paul D. W. Kirk, Michael P. H. Stumpf