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Recommender System to Identify Drug-Target Associations Usi..:
, In:
2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)
,
Phuangmalai, Sornsawan
;
Suratanee, Apichat
;
Plaimas, Kitiporn
- p. 539-544 , 2024
Link:
https://doi.org/10.1109/ECTIDAMTNCON60518.2024.1048004
RT T1
2024 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON)
: T1
Recommender System to Identify Drug-Target Associations Using Matrix Factorization
UL https://suche.suub.uni-bremen.de/peid=ieee-10480045&Exemplar=1&LAN=DE A1 Phuangmalai, Sornsawan A1 Suratanee, Apichat A1 Plaimas, Kitiporn YR 2024 SN 2768-4644 K1 Proteins K1 Drugs K1 Collaborative filtering K1 Prediction algorithms K1 Matrix decomposition K1 Sparse matrices K1 Task analysis K1 Recommender system K1 matrix factorization K1 collaborative filtering K1 drug-target associations SP 539 OP 544 LK http://dx.doi.org/https://doi.org/10.1109/ECTIDAMTNCON60518.2024.10480045 DO https://doi.org/10.1109/ECTIDAMTNCON60518.2024.10480045 SF ELIB - SuUB Bremen
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