Sebastian Nilsson
Sebastian Nilsson
Machine Learning Engineer, AstraZeneca
Verified email at - Homepage
Cited by
Cited by
The shapley value in machine learning
B Rozemberczki, L Watson, P Bayer, HT Yang, O Kiss, S Nilsson, ...
arXiv preprint arXiv:2202.05594, 2022
Biological Insights Knowledge Graph: an integrated knowledge graph to support drug development
D Geleta, A Nikolov, G Edwards, A Gogleva, R Jackson, E Jansson, ...
Biorxiv, 2021.10. 28.466262, 2021
Chemicalx: A deep learning library for drug pair scoring
B Rozemberczki, CT Hoyt, A Gogleva, P Grabowski, K Karis, A Lamov, ...
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
Moomin: Deep molecular omics network for anti-cancer drug combination therapy
B Rozemberczki, A Gogleva, S Nilsson, G Edwards, A Nikolov, E Papa
Proceedings of the 31st ACM international conference on information …, 2022
A unified view of relational deep learning for drug pair scoring
B Rozemberczki, S Bonner, A Nikolov, M Ughetto, S Nilsson, E Papa
arXiv preprint arXiv:2111.02916, 2021
Explainable biomedical recommendations via reinforcement learning reasoning on knowledge graphs
G Edwards, S Nilsson, B Rozemberczki, E Papa
arXiv preprint arXiv:2111.10625, 2021
A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Synergy, and Drug-Drug Interaction Prediction
B Rozemberczki, S Bonner, A Nikolov, M Ughetto, S Nilsson, E Papa
arXiv e-prints, arXiv: 2111.02916, 2021
Comparison of State-of-the-art Algorithms for de novo Drug Design
S Nilsson, J Sundkvist
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