179 citations · 180 across the 5 of their papers we have counts for
5 papers
Revisiting the thorny issue of missing values in single-cell proteomics
Christophe Vanderaa, Laurent Gatto
Missing values are a notable challenge when analysing mass spectrometry-based proteomics data. While the field is still actively debating on the best practices, the challenge incre…
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…
Initial recommendations for performing, benchmarking, and reporting single-cell proteomics experiments
Laurent Gatto, Ruedi Aebersold, Juergen Cox +18
Analyzing proteins from single cells by tandem mass spectrometry (MS) has become technically feasible. While such analysis has the potential to accurately quantify thousands of pro…
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…
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…