MADEDDU, LORENZO
MADEDDU, LORENZO
DIPARTIMENTO DI INFORMATICA
A Feature-Learning based method for the disease-gene prediction problem
2020 Madeddu, Lorenzo; Stilo, Giovanni; Velardi, Paola
A network-based analysis of disease modules from a taxonomic perspective
2021 Velardi, Paola; Madeddu, Lorenzo; Grani, Giorgio
Aim in Genomics
2021 Velardi, Paola; Madeddu, Lorenzo
Assessment of community efforts to advance network-based prediction of protein-protein interactions
2023 Wang, Xu-Wen; Madeddu, Lorenzo; Spirohn, Kerstin; Martini, Leonardo; Fazzone, Adriano; Becchetti, Luca; Wytock, Thomas P; Kovács, István A; Balogh, Olivér M; Benczik, Bettina; Pétervári, Mátyás; Ágg, Bence; Ferdinandy, Péter; Vulliard, Loan; Menche, Jörg; Colonnese, Stefania; Petti, Manuela; Scarano, Gaetano; Cuomo, Francesca; Hao, Tong; Laval, Florent; Willems, Luc; Twizere, Jean-Claude; Vidal, Marc; Calderwood, Michael A; Petrillo, Enrico; Barabási, Albert-László; Silverman, Edwin K; Loscalzo, Joseph; Velardi, Paola; Liu, Yang-Yu
Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses
2020 Prenkaj, B.; Stilo, G.; Madeddu, L.
Deep learning methods for network biology
2022 Madeddu, Lorenzo; Stilo, Giovanni
Integrating categorical and structural proximity in Disease Ontologies
2021 Madeddu, Lorenzo; Grani, Giorgio; Velardi, Paola
Machine learning methods for extracting medical knowledge from the human interactome
2022 Madeddu, Lorenzo
Predicting disease genes for complex diseases using random watcher-walker
2020 Madeddu, Lorenzo; Stilo, Giovanni; Velardi, Paola
Predicting disease genes using connectivity and functional features
2019 MADEDDU, LORENZO; STILO, GIOVANNI; VELARDI, Paola
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A Feature-Learning based method for the disease-gene prediction problem | 2020 | Madeddu, Lorenzo; Stilo, Giovanni; Velardi, Paola | |
| A network-based analysis of disease modules from a taxonomic perspective | 2021 | Velardi, Paola; Madeddu, Lorenzo; Grani, Giorgio | |
| Aim in Genomics | 2021 | Velardi, Paola; Madeddu, Lorenzo | |
| Assessment of community efforts to advance network-based prediction of protein-protein interactions | 2023 | Wang, Xu-Wen; Madeddu, Lorenzo; Spirohn, Kerstin; Martini, Leonardo; Fazzone, Adriano; Becchetti, Luca; Wytock, Thomas P; Kovács, István A; Balogh, Olivér M; Benczik, Bettina; Pétervári, Mátyás; Ágg, Bence; Ferdinandy, Péter; Vulliard, Loan; Menche, Jörg; Colonnese, Stefania; Petti, Manuela; Scarano, Gaetano; Cuomo, Francesca; Hao, Tong; Laval, Florent; Willems, Luc; Twizere, Jean-Claude; Vidal, Marc; Calderwood, Michael A; Petrillo, Enrico; Barabási, Albert-László; Silverman, Edwin K; Loscalzo, Joseph; Velardi, Paola; Liu, Yang-Yu | |
| Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses | 2020 | Prenkaj, B.; Stilo, G.; Madeddu, L. | |
| Deep learning methods for network biology | 2022 | Madeddu, Lorenzo; Stilo, Giovanni | |
| Integrating categorical and structural proximity in Disease Ontologies | 2021 | Madeddu, Lorenzo; Grani, Giorgio; Velardi, Paola | |
| Machine learning methods for extracting medical knowledge from the human interactome | 2022 | Madeddu, Lorenzo | |
| Predicting disease genes for complex diseases using random watcher-walker | 2020 | Madeddu, Lorenzo; Stilo, Giovanni; Velardi, Paola | |
| Predicting disease genes using connectivity and functional features | 2019 | MADEDDU, LORENZO; STILO, GIOVANNI; VELARDI, Paola |