DEVELOPMENT OF STATISTICAL METHODOLOGIES AND APPLICATION TO CLINICAL CANCER STUDIES
Grant number: 1087415 | Funding period: 2017 - 2018
Integrating different layers of information coming from the recent ‘-omics’ technologies can help improving the treatment and the prevention of complex diseases. In particular, the identification of molecular markers of different types can be used for better diagnostics and prognosis in cancer and immune diseases. This project will develop innovative statistical solutions to handle and make sense of the vast amount of biological data that are routinely generated in the laboratories.
Related publications (2)
Ratios of T-cell immune-effectors with tumour associated macrophages and PD-1/PD-L1 axis immune-checkpoint molecules, add to the predictive power of conventional prognosticators in diffuse large B cell lymphoma
C Keane, F Vari, M Hertzberg, K LE CAO, MR Green, E Han, JF Seymour, RJ Hicks, D Gill, P Crooks, C Gould, K Jones, LR Griffiths, D Talaulikar, S Jain, J Tobin, MK Gandhi