multi-omics data science (modas) research group

activities

The Multi-omics Data Science Group mainly focuses on the data obtained in cancer biology with high-throughput molecular profiling. We focus on extracting relevant biological signals and predictive features from tumors and surrounding tissues on various modalities: DNA methylation, RNA expression, protein abundance, and tissue histopathological images. Integrating the corresponding data improves our understanding of cancers and leads to better patient stratification and treatment. A special interest of the group is in contribution to translationally-oriented research through strong collaborations at the LIH, LNS and abroad. Members of the team enable cross-disciplinary research partnerships, which benefit from their diverse expertise in biostatistics, large-scale analysis and integration of multi-omics data, machine learning and scientific programming.