What we do
The Computational Systems Oncology lab integrates algorithmic design, numerical modelling, and molecular biology approaches to address relevant questions in cancer biology and therapeutics. We explore single and combinations of genetic and epigenetic alterations that emerge and are selected during cancer evolution, to understand cancer driving mechanisms and inform precision medicine approaches.
Main publications 2018
- Sanchez-Vega F et al.
Oncogenic signaling pathways in The Cancer Genome Atlas.
Cell, doi: 10.1016/j.cell.2018.03.035 - Raynaud F et al.
Pan-cancer inference of intra-tumor heterogeneity reveals associations with different forms of genomic instability.
PLoS Genet, doi: 10.1371/journal.pgen.1007669 - Saghafinia S et al.
Pan-cancer landscape of aberrant DNA methylation across human tumors.
Cell Rep, doi: 10.1016/j.celrep.2018.09.082
Find out more about the Group’s activities
