Publications

For an up to date version see my google scholar

[12] Moving profiling spatial proteomics beyond discrete classification Oliver M. Crook, Tom Smith, Mohamed Elzek, Kathryn Lilley (Proteomics) (2020)

[11] Spatial proteomics defines the content of trafficking vesicles captured by golgin tethers. John J.H.Shin, Oliver M. Crook, Alicia Borgeaud, Jerome Cattin-Ortola, Sew-Yeu Peak-Chew, Jessica Chadwick, Kathryn S. Lilley, Sean Munro (To appear, Nature Communications) (2020)

[10] A subcellular atlas of Toxoplasma reveals the functional context of the proteome. Konstantin Barylyuk, Ludek Koreny, Huiling Ke, Simon Butterworth, Oliver M. Crook, Imen Lassadi, Vipul Gupta, Eelco Tromer, Tobias Mourier, Tim Stevens, Lisa M. Breckels, Arnab Pain, Kathryn S. Lilley, and Ross F. Waller (To appear, Cell Host and Microbe) (2020)

[9] A semi-supervised Bayesian approach for simultanious protein sub-cellular localisation and novelty detection. Oliver M. Crook, Aikaterini Geladaki, Daniel Nightingale, Owen L. Vennard, Laurent Gatto, Kathryn S. Lilley, Paul DW Kirk biorxiv (2020)

[8] A linear transportation Lp distance for pattern recognistion Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C Zygalakis. arXiv (2020)

[7] PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds. Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C Zygalakis. arXiv (2019)

[6] A Bioconductor workflow for the Bayesian analysis of spatial proteomics. Oliver M. Crook, Lisa Breckels, Kathyrn S. lilley, Paul D. W. Kirk, Laurent Gatto F1000Research (2019)

[5] Semi-Supervised non-parametric Bayesian modelling of spatial proteomics. Oliver M. Crook, Kathyrn S. lilley, Laurent Gatto, Paul D. W. Kirk arXiv (2019)

[4] Fast approximate inference for variable selection in Dirichlet process mixtures, with an application to pan-cancer proteomics. Oliver M. Crook, Laurent Gatto, Paul D. W. Kirk arXiv (SAGAMB, 2019)

[3] Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics.  Aikaterini Geladaki, Nina Kocevar Britovsek, Lisa M. Breckels, Tom S. Smith, Owen L. Vennard, Claire M. Mulvey, Oliver M. Crook, Laurent Gatto, Kathryn S. Lilley Nature Communications (2019)

[2] A Bayesian mixture modelling approach for spatial proteomics. Oliver M. CrookClaire. M. Mulvey, Paul D.W. Kirk, Kathryn S. Lilley, Laraunt Gatto.  PloS Computational Biology  BioRxiv (2018) 

[1] Targeted treatment of yaws with contact tracing: How much do we miss? Louise Dyson, Michael Marks, Oliver M. Crook, Oliver Sokana, Anthony W. Solomon, Alex Bishop, David C. W. Mabey, T. Deirdre Hollingsworth, American Journal of Epidemiology (2017)