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1 Ergebnisse
1
Predicting Anatomical Therapeutic Chemical Drug Classes fro..:
, In:
2021 5th International Conference on Computational Biology and Bioinformatics
,
Das, Pranab
;
Hussain Mazumder, Dilwar
- p. 1-7 , 2021
Link:
https://dl.acm.org/doi/10.1145/3512452.3512453
RT T1 <cTitle>2021 5th International Conference on Computational Biology and Bioinformatics</cTitle>: T1 <Title>Predicting Anatomical Therapeutic Chemical Drug Classes from 17 molecules' Properties of Drugs by Multi-Label Binary Relevance Approach with MLSMOTE</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3512453&Exemplar=1&LAN=DE A1 Das, Pranab A1 Hussain Mazumder, Dilwar PB ACM YR 2021 K1 17 molecules' K1 Anatomical Therapeutic Chemical K1 Bioinformatics K1 Class Imbalance K1 Drug Discovery K1 MLSMOTE K1 Machine Learning K1 Multi-Label Classification K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Supervised learning by classification SP 1 OP 7 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3512452.3512453 DO https://dl.acm.org/doi/10.1145/3512452.3512453 SF ELIB - SuUB Bremen
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