Computational RNA Biology
Marsico LabUnraveling the secrets of RNA and complex biological networks with the power of machine learning - for a healthier future
Unraveling the secrets of RNA and complex biological networks with the power of machine learning - for a healthier future
About Us
In our lab we investigate machine learning methods for RNA biology, genomics and biomedicine. We are passionate about unravelling new functions of RNA molecules in the cell, and their role in complex gene regulatory networks involving combinatorial interactions between proteins and nucleic acids.
Our machine learning research focuses on deep learning models for biological sequences, interpretable AI and graph-based heterogeneous data modelling. The problems we investigate are motivated by collaborations with wet-lab biologists and clinicians and have the ultimate goal to better understand complex diseases and explore the diagnostic and therapeutic potential of in silico identified biomarkers.
Our Researchers
Selected Publications
See all2022 Biorxiv
Towards In-Silico CLIP-seq: Predicting Protein-RNA Interaction via Sequence-to-Signal Learning
2022 Nature Immunology
2022 Front Genet
2021 Nature Machine Intelligence
2021 accepted in NAR genomics and Bioinformatics
Computational Mapping of the Human-SARS-CoV-2 Protein-RNA Interactome
