Bioinformatics and Modelling
Activities
The Bioinformatics and Modelling group’s vision is to enable benefits for patients through integrated computational and biological modeling. The main objective is to enable translationally-oriented research through strong collaborations at the LIH and abroad. This requires making sense of the large and complex datasets obtained from patients, animal and cell line models. The group’s top priority is the development of novel computational models for cancer patient stratification and drug response prediction using multi-omics data. The scientists within the group lead and enable cross-disciplinary research partnerships, which benefit from their diverse expertise in: a. Biological network modeling and analysis; c. Integrative, large-scale analysis of multi-omics data; and C. Biostatistics and machine learning.
Research projects
- “Drug repositioning for the treatment of myocardial infarction through systems biology approaches (INFUSED)”, Luxembourg’s National Research Fund (FNR) / Swiss National Science Foundation (SNSF).
- “Non-coding RNA regulatory circuits in glioma” (CIRCUITOMA), FNR, INTER programme.
- “New tools for the prediction of influential nodes and links in multi-level cancer-related networks”, FNR, Luxembourg-Singapore cooperation programme, 2016-2018
Featured Publications
Inhibition of HIF1α-Dependent Upregulation of Phospho-l-Plastin Resensitizes Multiple Myeloma Cells to Frontline Therapy.
- Tumor Microenvironment
- Bioinformatics and Modelling
- Laboratory of Oncolytic-Virus-Immuno-Therapeutics
Transcriptional variations in the wider peritumoral tissue environment of pancreatic cancer.
- Bioinformatics and Modelling
- Genomics Center
