Modern biology is much more quantitative than the biology of the past, and is
now critically dependent on the mathematical, physical and computer sciences.
The School of Mathematical Sciences has a strong group of statistical
bioinformaticians who conduct research in genomics, proteomics and systems
biology in collaboration with biomedical researchers from government,
universities and industry.
|Gary Glonek||Design and analysis of microarray and other experiments, Data mining, Statistical computing, Bayesian analysis, Analysis of categorical data, Biostatistics, Epidemiology|
|Patty Solomon||Gene expression studies, Design and analysis of microarray and other experiments, Analysis of proteomic spectra, Gene and protein networks, Data mining, Components of variance, Biostatistics, Survival analysis, Clinical trials, Critical care medicine, Monitoring and assessing health outcomes, Epidemiology|
|Simon Tuke||Analysis of microarray data, Time course microarray experiments, Biostatistics, Statistical equivalence|