Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
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Updated
Sep 19, 2019 - Python
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"
Drugs with Allometry and Physiology Inside - Drug Drug Interaction
Extraction of Drug-Drug Interactions from Biomedical Texts
Web App that checks if any of the added medications have interactions with each other. Created as portfolio project for Web Dev course.
app for drug drivers to log drug use to determine when they can legally drive again
Factuality check of the SemRep Predications
Molormer:A Lightweight Self-Attention-Based Method Focused on Spatial Structure of Molecular Graph for Drug-Drug Interactions Prediction
Drug drug interaction using LSTM and word embedding
This is a new repositiory. I'm interested in creating a cloud-based Saas program that utilizes an open-source clinical database.
PyTorch code for an effective way of making a Molecular Graph Dataset in Torch Geometric involving a pair of graphs from chemical SMILE strings
A Virtual Reality Experience - Project to examine the productivity and usefulness of Virtual Reality as a tool for education
An easy-to-use Deep Learning tool for Polypharmacy Side Effect prediction.
Recognition of drugs and extraction of drug-drug interactions that appear in biomedical literature.
Emerging Drug Interaction Prediction Enabled by Flow-based Graph Neural Network with Biomedical Network. Nature Computational Science. 2023.
Novel deep learning model for more accurate prediction of drug-drug interaction effects
Deep drug-drug interaction discovery and demystification (D4)
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