Oliver M. Crook

According to our database, Oliver M. Crook authored at least 9 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A linear transportation Lp distance for pattern recognition.

Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis

Pattern Recognit., March, 2024

2022

Improving lab-of-origin prediction of genetically engineered plasmids via deep metric learning.

Igor Muniz Soares, Fernando H. F. Camargo, Adriano Marques, Oliver M. Crook

Nat. Comput. Sci., 2022

2021

Deep metric learning improves lab of origin prediction of genetically engineered plasmids.

Igor Muniz Soares, Fernando H. F. Camargo, Adriano Marques, Oliver M. Crook

CoRR, 2021

Analysis of the first Genetic Engineering Attribution Challenge.

Oliver M. Crook, Kelsey Lane Warmbrod, Greg Lipstein, Christine Chung, Christopher W. Bakerlee, T. Greg McKelvey Jr., Shelly R. Holland, Jacob L. Swett, Kevin M. Esvelt, Ethan C. Alley, William J. Bradshaw

CoRR, 2021

2020

A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection.

Oliver M. Crook, Aikaterini Geladaki, Daniel J. H. Nightingale, Owen L. Vennard, Kathryn S. Lilley, Laurent Gatto, Paul D. W. Kirk

PLoS Comput. Biol., November, 2020

A Linear Transportation L^p Distance for Pattern Recognition.

Oliver M. Crook, Mihai Cucuringu, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis

CoRR, 2020

2019

A Bioconductor workflow for the Bayesian analysis of spatial proteomics.

Oliver M. Crook, Lisa M. Breckels, Kathryn S. Lilley, Paul D. W. Kirk, Laurent Gatto

F1000Research, 2019

PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds.

Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis

CoRR, 2019

2018

A Bayesian mixture modelling approach for spatial proteomics.

Oliver M. Crook, Claire M. Mulvey, Paul D. W. Kirk, Kathryn S. Lilley, Laurent Gatto

PLoS Comput. Biol., 2018