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MFE-DDI: A multi-view feature encoding framework for drug-drug interaction prediction
Published 2025-01-01“…In this study, we propose the Multi-view Feature Embedding for drug-drug interaction prediction (MFE-DDI), which integrates SMILES information, molecular graph data and atom spatial semantic information to model drugs from multiple perspectives and encapsulate the intricate drug information crucial for predicting DDIs. …”
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11483
Prediction of adverse drug reactions using demographic and non-clinical drug characteristics in FAERS data
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11484
Steering-Angle Prediction and Controller Design Based on Improved YOLOv5 for Steering-by-Wire System
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11485
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11486
Deep learning-based InSAR time-series deformation prediction in coal mine areas
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11488
Dye-cleaning prediction with a variant of nature-inspired algorithms coupled with extreme gradient boosting
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11490
Research on Pump Down Treating Pressure Prediction Based on New Particle Swarm Optimization Algorithm
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11491
Neural-Network-Based Prediction of Non-Burial Overwintering Material Covering Height for Wine Grapes
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Data-Driven Prediction Methods for Lithium-Ion Battery State of Health Based on Elbow Rule
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11494
Machine learning-based ultrasound radiomics for predicting TP53 mutation status in hepatocellular carcinoma
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11495
Distributed Photovoltaic Short-Term Power Prediction Based on Personalized Federated Multi-Task Learning
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11496
Data-driven approaches for predicting Tommy John Surgery risk in major league baseball pitchers
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11497
A prediction method for anti-cancer drug combinations synergy based on graph attention network
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11498
Prediction of ultimate load capacity of demountable shear stud connectors using machine learning techniques
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11499
SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development
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