Gianfranco Michele Maria Politano

This paper reports on the fourth CAFA challenge, showing improvements in Gene Ontology term prediction but highlighting challenges in new evaluation settings.

The paper identifies genome-wide protein-RNA interactions in Clostridium autoethanogenum that contribute to autotrophy using a combination of experimental and computational methods.

The paper presents an algorithm and web tool to design flow cytometry panels with minimal spectral overlap by optimizing fluorochrome combinations.

This paper introduces a Nets-Within-Nets formalism to model ontogenesis, demonstrating its ability to simulate developmental processes in C. elegans Vulval Precursor Cells.

The paper introduces DeepSeq, a deep learning model that predicts protein functions from sequences, achieving high accuracy and solving related tasks automatically.