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Plos One|July 24, 2019
A meta-analysis of multiple matched aCGH/expression cancer datasets reveals regulatory relationships and pathway enrichment of potential oncogenesRichard Newton, Lorenz WernischBMC Genomics|November 20, 2015
Investigating inter-chromosomal regulatory relationships through a comprehensive meta-analysis of matched copy number and transcriptomics data setsRichard Newton, Lorenz WernischPlos One|August 23, 2014
A meta-analysis of multiple matched copy number and transcriptomics data sets for inferring gene regulatory relationshipsRichard Newton, Lorenz WernischBMC Genomics|August 13, 2017
A comparison of machine learning and Bayesian modelling for molecular serotypingRichard Newton, Lorenz WernischApplied Bioinformatics|December 5, 2006
A Hidden Markov model web application for analysing bacterial genomotyping DNA microarray experimentsRichard Newton, Jason Hinds, Lorenz WernischBMC Bioinformatics|April 2, 2011
Empirical Bayesian models for analysing molecular serotyping microarraysRichard Newton, Jason Hinds, Lorenz WernischSource Code for Biology and Medicine|April 5, 2011
Creating web applications for spatial epidemiological analysis and mapping in R using RwuiRichard Newton, Andrew Deonarine, Lorenz WernischInternational Journal of Health Geographics|September 25, 2012
Displaying R spatial statistics on Google dynamic maps with web applications created by RwuiRichard Newton, Andrew Deonarine, Lorenz WernischPlos One|June 6, 2013
Testing the utility of an integrated analysis of copy number and transcriptomics datasets for inferring gene regulatory relationshipsXin Yi Goh, Richard Newton, Lorenz Wernisch, et al.Comparative and Functional Genomics|July 17, 2008
Can replication save noisy microarray data?Lorenz WernischPageof 24