lehgtrung / egfr-attLinks
Drug effect prediction using neural network
☆21Updated 4 years ago
Alternatives and similar repositories for egfr-att
Users that are interested in egfr-att are comparing it to the libraries listed below
Sorting:
- Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity☆29Updated 4 years ago
- Machine learning notebooks and code used for demonstration purposes☆24Updated 4 years ago
- ☆98Updated 5 years ago
- ☆61Updated 6 years ago
- Python package is for paper 'Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data…☆34Updated 8 years ago
- Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)☆94Updated 2 years ago
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- ☆49Updated 2 years ago
- Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders☆53Updated 4 years ago
- Multiobjective De Novo Drug Design with Recurrent Neural Networks and Nondominated Sorting☆18Updated 5 years ago
- code for Zagidullin et al 2021 "Comparative analysis of molecular fingerprints in prediction of drug combination effects"☆16Updated 2 years ago
- ☆31Updated 6 years ago
- Datasets for Drug Discovery and Development☆9Updated 4 years ago
- Mol2vec notebooks for use with Binder service☆29Updated 7 years ago
- AAAI 2020: Chemically Interpretable Graph Interaction Network for Prediction of Pharmacokinetic Properties of Drug-like Molecules☆35Updated 3 years ago
- A Graph Neural Network (Geometric machine learning) for molecular generation☆21Updated 5 years ago
- A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines☆17Updated 2 years ago
- Machine Learning Projects☆24Updated 5 years ago
- DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)☆26Updated 4 years ago
- A Python implementation for training a neural network for predicting drug-protein interactions using Keras and Tensorflow☆17Updated 6 years ago
- Ligand-based Virtual Screening using Deep Learning☆16Updated 2 months ago
- The Databases for Drug Discovery (DDD)☆143Updated 6 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…☆42Updated 5 years ago
- DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images☆113Updated 10 months ago
- Deep-learning models for Drug Discovery and Quantum Chemistry☆27Updated 7 years ago
- Three-Dimensionally Embedded Graph Convolutional Network (3DGCN) for Molecule Interpretation☆55Updated 6 years ago
- A Python package for drug discovery by analyzing causal paths on multiscale networks☆27Updated 11 months ago
- Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network☆90Updated 5 years ago
- Machine learning guided association of adverse drug reactions with in vitro off-target pharmacology☆34Updated 4 years ago