Members: Regina KALCSEVSZKI, Zsófia MOLNÁR, Babett BODNÁR, Bendegúz FILYÓ, István SZEPESI-NAGY, Judit JUHÁSZ
Our research group focuses on large genomic and evolutionary context aware neural network and sequence representations. A key and fundamental question in quantitative biology is how to uncover novel patterns and structures in biological data, which is crucial for modeling, predicting, and manipulating complex organizations like a microbiome.
We aim to provide neural network-based, universal, reusable representations and algorithms specifically tailored for microorganisms. Our solutions can efficiently handle the fast-growing heterogeneous data and deal with the context-dependence or scarcity of labeled data.
