Found: 10
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HGDTI: predicting drug-target interaction by using information aggregation based on heterogeneous graph neural network.
- Published in:
- BMC Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1186/s12859-022-04655-5
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- Article
MSEDDI: Multi-Scale Embedding for Predicting Drug—Drug Interaction Events.
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- International Journal of Molecular Sciences, 2023, v. 24, n. 5, p. 4500, doi. 10.3390/ijms24054500
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- Article
Predicting N6-Methyladenosine Sites in Multiple Tissues of Mammals through Ensemble Deep Learning.
- Published in:
- International Journal of Molecular Sciences, 2022, v. 23, n. 24, p. 15490, doi. 10.3390/ijms232415490
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- Article
DLm6Am: A Deep-Learning-Based Tool for Identifying N6,2′-O-Dimethyladenosine Sites in RNA Sequences.
- Published in:
- International Journal of Molecular Sciences, 2022, v. 23, n. 19, p. 11026, doi. 10.3390/ijms231911026
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- Article
Anoikis-related mRNA-lncRNA and DNA methylation profiles for overall survival prediction in breast cancer patients.
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- Mathematical Biosciences & Engineering, 2024, v. 21, n. 1, p. 1590, doi. 10.3934/mbe.2024069
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- Article
pSuc-EDBAM: Predicting lysine succinylation sites in proteins based on ensemble dense blocks and an attention module.
- Published in:
- BMC Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1186/s12859-022-05001-5
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- Article
MusiteDeep: a deep-learning framework for general and kinase-specific phosphorylation site prediction.
- Published in:
- Bioinformatics, 2017, v. 33, n. 24, p. 3909, doi. 10.1093/bioinformatics/btx496
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- Article
Identifying GPCR-drug interaction based on wordbook learning from sequences.
- Published in:
- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-3488-8
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- Article
Fuzzy Time Series Forecasting Model Based on Automatic Clustering Techniques and Generalized Fuzzy Logical Relationship.
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- Mathematical Problems in Engineering, 2015, v. 2015, p. 1, doi. 10.1155/2015/962597
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- Article
High-Order Fuzzy Time Series Model Based on Generalized Fuzzy Logical Relationship.
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- Mathematical Problems in Engineering, 2013, p. 1, doi. 10.1155/2013/927394
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- Article