1. Identifying candidate gene–disease associations via graph neural networks;Cinaglia;Entropy,2023
2. A method based on temporal embedding for the pairwise alignment of dynamic networks;Cinaglia;Entropy,2023
3. Network alignment and motif discovery in dynamic networks;Cinaglia;Network Modeling Analysis in Health Informatics and Bioinformatics,2022
4. A flexible automated pipeline engine for transcript-level quantification from RNA-seq;Cinaglia,2023
5. Cinaglia, P., Guzzi, P.H., Veltri, P., 2018. INTEGRO: An algorithm for data-integration and disease-gene association. In: 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2076-2081. Madrid, Spain, https://doi.org/10.1109/BIBM.2018.8621193.