DNA microarray normalization methods can remove bias from differential protein expression analysis of 2D difference gel electrophoresis results. - David P. Kreil; Natasha A. Karp; Kathryn S. Lilley (Bioinform., 2004)

MSnbase-an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation. - Laurent Gatto; Kathryn S. Lilley (Bioinform., 2012)

Mass-spectrometry-based spatial proteomics data analysis using pRoloc and pRolocdata. - Laurent Gatto; Lisa M. Breckels; Samuel Wieczorek; Thomas Burger; Kathryn S. Lilley (Bioinform., 2014)

A Bioconductor workflow for processing and analysing spatial proteomics data. - Lisa M. Breckels; Claire M. Mulvey; Kathryn S. Lilley; Laurent Gatto (F1000Research, 2016)

Learning from Heterogeneous Data Sources: An Application in Spatial Proteomics. - Lisa M. Breckels; Sean B. Holden; David Wojnar; Claire M. Mulvey; Andy Christoforou; Arnoud Groen; Matthew W. B. Trotter; Oliver Kohlbacher; Kathryn S. Lilley; Laurent Gatto (PLoS Comput. Biol., 2016)

Computational Proteomics (Dagstuhl Seminar 17421). - Bernhard Küster; Kathryn S. Lilley; Lennart Martens (Dagstuhl Reports, 2017)

Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation. - Irina M. Armean; Kathryn S. Lilley; Matthew W. B. Trotter; Nicholas Charles Victor Pilkington; Sean B. Holden (Bioinform., 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)

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)

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., 2020)