Lorenzo Madeddu
| Titolo | Pubblicato in | Anno |
|---|---|---|
| Assessment of community efforts to advance network-based prediction of protein-protein interactions | NATURE COMMUNICATIONS | 2023 |
| Deep Learning Methods for Network Biology | Deep Learning In Biology and Medicine | 2022 |
| A network-based analysis of disease modules from a taxonomic perspective | IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS | 2021 |
| Aim in Genomics | Artificial Intelligence in Medicine | 2021 |
| Integrating categorical and structural proximity in Disease Ontologies | 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) | 2021 |
| Predicting disease genes for complex diseases using random watcher-walker | Proceedings of the ACM Symposium on Applied Computing | 2020 |
| A Feature-Learning based method for the disease-gene prediction problem | INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS | 2020 |
| Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses | International Conference on Information and Knowledge Management, Proceedings | 2020 |
| Predicting disease genes using connectivity and functional features | Proceedings of 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2019) | 2019 |
Lorenzo Madeddu is a Ph.D. student at the Department of Translational and Precision Medicine at "Sapienza" University of Rome with a Computer Science Master Degree. He received his master degree in Computer Science from ”Sapienza” University of Rome in 2018. His research interests focus on machine learning, graph mining, and Network Medicine. He is involved in interdisciplinary projects in the fields of Healthcare and Precision Medicine and is supported by the “Sapienza information-based Technology InnovaTion Center for Health - STITCH”. (Personal Website: https://www.lorenzomadeddu.com/ )
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