The search result for the key word "VGAEDTI"

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Recommendation ID Data Information Model Information Application Information Reference
Rank Total_Score Model_ID Dataset_Name Element_type Data_features Model_name Algorithm_name Prediction_type Code_source Study_types Disease_name Target_name Drug_name Interaction_type Recommended_Number PMID Journal Publication_Year
1 91.9 2042 NA Drug, Disease, Target Drug: SMILES, Target: the amino acid sequences VGAEDTI Random Forest (RF),Variational Graph AutoEncoder (VGAE),Graph AutoEncoder (GAE) Drug Target Interaction (DTI) https://github.com/FengYinFei/VGAEDTI Case studies NA NA NA Drug target interaction Top 15 drugs 37415176 BMC Bioinformatics 2023
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