3 papers
q-bio.QM2022
The current state of single-cell proteomics data analysis
Christophe Vanderaa, Laurent Gatto
Sound data analysis is essential to retrieve meaningful biological information from single-cell proteomics experiments. This analysis is carried out by computational methods that a…
stat.AP2019
Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics
Oliver M. Crook, Kathryn S. Lilley, Laurent Gatto +1
Understanding sub-cellular protein localisation is an essential component to analyse context specific protein function. Recent advances in quantitative mass-spectrometry (MS) have…
stat.ME2018
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
The Dirichlet Process (DP) mixture model has become a popular choice for model-based clustering, largely because it allows the number of clusters to be inferred. The sequential upd…