While it is clear that bacteria in the gut and neurons communicate (the Machine learning and deep learning-based approaches have emerged as key components in biomedical data analyses. Deep learning tools enhance the performance in pattern-recognition tasks. Their ability to learn complex patterns in data has tremendous implications in immunogenomics.
Our project focuses to the identification of disease specific T-cell receptor motifs. Specifically, we use and develop deep learning algorithms focusing on the extraction of antigen-specific TCR motifs from bulk and single-cell RNA-Seq.


Contacts:
Raffaele Calogero