Now showing items 1-2 of 2

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

      Ross-Adams, H.; Lamb, A. D.; Dunning, M. J.; Halim, S.; Lindberg, J.; Massie, C. M.; Egevad, L. A.; Russell, R.; Ramos-Montoya, A.; Vowler, S. L.; Sharma, N. L.; Kay, J.; Whitaker, H.; Clark, J.; Hurst, R.; Gnanapragasam, V. J.; Shah, N. C.; Warren, A. Y.; Cooper, C. S.; Lynch, A. G.; Stark, R.; Mills, I. G.; Grönberg, H.; Neal, D. E.; Shaw, Greg; Hori, Satoshi; Baridi, Ajoeb; Tran, Maxine; Wadhwa, Karan; Nelson, Adam; Patel, Keval; Thomas, Benjamin; Luxton, Hayley; Gnanpragasam, Vincent; Doble, Andrew; Kastner, Christof; Aho, Tevita; Haynes, Beverley; Partridge, Wendy; Cromwell, Elizabeth; Sangrasi, Asif; Burge, Jo; George, Anne; Stearn, Sara; Corcoran, Marie; Coret, Hansley; Basnett, Gillian; Francis, Indu; Whitington, Thomas; Yuan, Yinyin; CamCaP Study Group (2015-09) - Journal article
      Background : Understanding the heterogeneous genotypes and phenotypes of prostate cancer is fundamental to improving the way we treat this disease. As yet, there are no validated descriptions of prostate cancer subgroups ...
    • Mining human prostate cancer datasets : the “camcAPP” shiny app 

      Dunning, Mark J.; Vowler, Sarah L.; Lalonde, Emilie; Ross-Adams, Helen; Boutros, Paul; Mills, Ian G.; Lynch, Andy G.; Lamb, Alastair D. (2017-03) - Journal item