Non-negative Matrix Tri-Factorization for Data Integration and Network-based Drug Repositioning - researchr publication related

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Gaia Ceddia, Pietro Pinoli, Stefano Ceri, Marco Masseroli. Non-negative Matrix Tri-Factorization for Data Integration and Network-based Drug Repositioning. In Giacomo Baruzzo, Sebastian Daberdaku, Barbara Di Camillo, Simone Furini, Emanuele Domenico Giordano, Giuseppe Nicosia, editors, IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2019, Siena, Italy, July 9-11, 2019. pages 1-7, IEEE, 2019. [doi]

The following publications are possibly variants of this publication:

Drug Repositioning Predictions by Non-Negative Matrix Tri-Factorization of Integrated Association DataGaëtan Dissez, Gaia Ceddia, Pietro Pinoli, Stefano Ceri, Marco Masseroli. bcb 2019: 25-33 [doi]

Leveraging Non-negative Matrix Tri-Factorization and Knowledge-Based Embeddings for Drug Repurposing: an Application to Parkinson's DiseaseLetizia Messa, Carolina Testa, Stephana Carelli, Federica Rey, Cristina Cereda, Manuela Teresa Raimondi, Stefano Ceri, Pietro Pinoli. icbbe 2023: 99-106 [doi]

A Non-Negative Matrix Tri-Factorization Based Method for Predicting Antitumor Drug SensitivityCarolina Testa, Sara Pidò, Pietro Pinoli. cibb 2022: 94-104 [doi]

Predicting Drug Synergism by Means of Non-Negative Matrix Tri-FactorizationPietro Pinoli, Gaia Ceddia, Stefano Ceri, Marco Masseroli. tcbb, 19(4):1956-1967, 2022. [doi]

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