a96123155 / DTI-MLCDLinks
Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)
☆13Updated 5 years ago
Alternatives and similar repositories for DTI-MLCD
Users that are interested in DTI-MLCD are comparing it to the libraries listed below
Sorting:
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 3 years ago
- Realizing DTINet with python☆27Updated 7 years ago
- ☆15Updated 3 years ago
- The code for SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network.☆11Updated 4 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆29Updated 4 years ago
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆77Updated 4 years ago
- ☆14Updated 5 years ago
- Algorithms for prediction of drug-target interactions via computational (chemogenomic) methods☆47Updated 6 years ago
- ☆94Updated 2 years ago
- Multi-modal co-attention for drug-target interaction annotation and Its Application to SARS-CoV-2☆17Updated 2 years ago
- ☆80Updated last year
- This is the repository containing the source code for my Master's thesis research, about predicting drug-target interaction using deep le…☆44Updated 6 years ago
- Heterogeneous disease-gene-related☆19Updated 4 years ago
- ☆17Updated 4 years ago
- This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction pred…☆27Updated 4 years ago
- "MUFFIN: Multi-Scale Feature Fusion for Drug–Drug Interaction Prediction".☆13Updated 3 years ago
- DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences☆78Updated 3 years ago
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆30Updated 2 years ago
- ☆32Updated 7 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 3 years ago
- ☆32Updated 4 years ago
- Interpretable bilinear attention network with domain adaptation improves drug-target prediction.☆136Updated 2 years ago
- REDDA: integrating multiple biological relations to heterogeneous graph neural network for drug-disease association prediction☆19Updated last year
- ☆11Updated 4 years ago
- Codes and models for the paper "Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction".☆83Updated 3 years ago
- ☆13Updated 4 years ago
- ☆24Updated 9 years ago
- The implementation of “GANLDA: Graph attention network for lncRNA-disease associations prediction”☆14Updated 4 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 4 years ago
- the codes for paper "IIFDTI: predicting drug target interaction through interactive and independent features based on attention mechanism…☆10Updated 3 years ago