Kathryn S. Lilley

According to our database, Kathryn S. Lilley authored at least 10 papers between 2004 and 2020.

Collaborative distances:

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

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

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

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

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

2017

Computational Proteomics (Dagstuhl Seminar 17421).

Bernhard Küster, Kathryn S. Lilley, Lennart Martens

Dagstuhl Reports, 2017

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

A Bioconductor workflow for processing and analysing spatial proteomics data.

Lisa M. Breckels, Claire M. Mulvey, Kathryn S. Lilley, Laurent Gatto

F1000Research, 2016

2014

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

2012

MSnbase-an R/Bioconductor package for isobaric tagged mass spectrometry data visualization, processing and quantitation.

Laurent Gatto, Kathryn S. Lilley

Bioinform., 2012

2004

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