Computational Systems Biology of Cancer

The diversity across tumors from different patients and even across cancer cells from the same patient makes the picture very complex. The idea of ‘personalized’ or ‘precision’ medicine has been suggested, aiming to find tailored treatment regimen for each patient according to the individual genetic background and tumor molecular profile. This attempt is achievable thanks to sufficient molecular characterization of cancers accumulated using high-throughput technologies and advanced imaging technologies. However, despite availability of cancer multi-scale data, they are not fully exploited to provide the clue on deregulated mechanisms that would guide better patients stratification and to specific treatment in cancer.

Main topics:

• Cancer
• Clinical research
• Prior knowledge and molecular maps
• Multi-omics
• Spatial transcriptomics
• Imaging data
• Clinical data
• Data integration
• Machine learning
• Dynamical modelling
• Statistical modelling
• Network inference
• Predictive models for various multi-omics data types
• Treatment response prediction and prognosis