Andrea Mastropietro
Biografia
Position
- 2019 - present: Ph.D. Student in Data Science (Sapienza University of Rome)
Research visits
- Sept 2022 - Feb 2023: University of Bonn (Germany) - Life Science Informatics and Data Science Department
Education
- 2017 - 2019: MSc in Engineering in Computer Science (Sapienza University of Rome)
- 2014 - 2017: BSc in Computer and System Engineering (Sapienza University of Rome)
Interessi di ricerca
- Deep learning
- Machine Learning
- Bioinformatics
- Network Medicine
- Chemoinformatics
Riconoscimenti e premi
- Avvio alla Ricerca 2022: Explaining Graph Neural Networks in Medicinal Chemistry.
- Avvio alla Ricerca 2021: Neural Network Interpretability in Bioinformatics.
- Best Presentation Award: "Feature Selection in Neural Networks via Rank Aggregation", ACDL 2021.
- Copernicus Masters 2020: Winner of European Space Agency DTE Challenge and Italian Space Agency Prize.
- Excellent Graduate A.Y. 2018-19.
Membro di
Ultime pubblicazioni
| Protocol to explain support vector machine predictions via exact Shapley value computation in STAR PROTOCOLS | 2024 |
| Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel in SCIENTIFIC REPORTS | 2023 |
| Learning characteristics of graph neural networks predicting protein–ligand affinities in NATURE MACHINE INTELLIGENCE | 2023 |
| NIAPU: Network-Informed Adaptive Positive-Unlabeled learning for disease gene identification in BIOINFORMATICS | 2023 |
| XGDAG: explainable gene–disease associations via graph neural networks in BIOINFORMATICS | 2023 |
| EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks in ISCIENCE | 2022 |
| Network Proximity-Based Drug Repurposing Strategy for Early and Late Stages of Primary Biliary Cholangitis in BIOMEDICINES | 2022 |