Jeremy Clark

Integration of copy number and transcriptomics provides risk stratification in prostate cancer: A discovery and validation cohort study

S. Vowler, J. Lindberg, H. Grönberg, 2015, EBioMedicine.

Development of a multivariable risk model integrating urinary cell DNA methylation and cell-free RNA data for the detection of significant prostate cancer.

D. Brewer, S. Connell, R. Mills, 2020, The Prostate.

Molecular characterisation of ERG, ETV1 and PTEN gene loci identifies patients at low and high risk of death from prostate cancer

W. Gerald, J. Cuzick, D. Berney, 2010, British Journal of Cancer.