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1 Ergebnisse
1
Leveraging Non-negative Matrix Tri-Factorization and Knowle..:
, In:
Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering
,
Messa, Letizia
;
Testa, Carolina
;
Carelli, Stephana
... - p. 99-106 , 2023
Link:
https://dl.acm.org/doi/10.1145/3637732.3637783
RT T1
Proceedings of the 2023 10th International Conference on Biomedical and Bioinformatics Engineering
: T1
Leveraging Non-negative Matrix Tri-Factorization and Knowledge-Based Embeddings for Drug Repurposing: an Application to Parkinson's Disease
UL https://suche.suub.uni-bremen.de/peid=acm-3637783&Exemplar=1&LAN=DE A1 Messa, Letizia A1 Testa, Carolina A1 Carelli, Stephana A1 Rey, Federica A1 Cereda, Cristina A1 Raimondi, Manuela Teresa A1 Ceri, Stefano A1 Pinoli, Pietro PB ACM YR 2023 K1 Drug Repurposing K1 Embeddings K1 Non-negative Matrix Tri-Factorization K1 Parkinson's Disease K1 Predictors K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Factorization methods K1 Non-negative matrix factorization K1 Learning latent representations K1 Applied computing K1 Life and medical sciences K1 Computational biology K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 99 OP 106 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3637732.3637783 DO https://dl.acm.org/doi/10.1145/3637732.3637783 SF ELIB - SuUB Bremen
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