liyu95 / Disease_gene_prioritization_GCNView external linksLinks
PGCN: Disease gene prioritization by disease and gene embedding through GCN
☆79Apr 1, 2024Updated last year
Alternatives and similar repositories for Disease_gene_prioritization_GCN
Users that are interested in Disease_gene_prioritization_GCN are comparing it to the libraries listed below
Sorting:
- Heterogeneous disease-gene-related☆20Aug 3, 2021Updated 4 years ago
- ☆26Dec 5, 2022Updated 3 years ago
- Inferring disease-associated miRNAs☆10Mar 21, 2020Updated 5 years ago
- A deep learning framework for predicting lncRNA–disease associations☆10Dec 29, 2020Updated 5 years ago
- Disease Gene Prioritization with Privileged Information and Heteroscedastic Dropout☆11Jan 28, 2021Updated 5 years ago
- SmuDGE: Semantic Disease Gene Embeddings☆12Jul 11, 2018Updated 7 years ago
- A disease gene prediction algorithm based on multimodel deep belief net☆16Apr 6, 2023Updated 2 years ago
- Data, results, and code accompanying the manuscript: "Supervised learning is an accurate method for network-based gene classification"☆10Nov 3, 2021Updated 4 years ago
- Graph convolutional neural network for multirelational link prediction☆467Nov 21, 2022Updated 3 years ago
- Predicting lncRNA-disease associations in heterogeneous network based on deep learning method.☆13May 11, 2020Updated 5 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Aug 19, 2022Updated 3 years ago
- Code repository for "Prioritizing Repurposable Drugs for SARS-CoV-2 using Deep Learning and Population-based Validation"☆16May 2, 2025Updated 9 months ago
- A Network Integration Approach for Drug-Target Interaction Prediction☆185Oct 30, 2022Updated 3 years ago
- Explaining the genetic causality for complex diseases by deep association kernel learning☆15May 7, 2021Updated 4 years ago
- Algorithms for prediction of drug-target interactions via computational (chemogenomic) methods☆48Apr 26, 2019Updated 6 years ago
- Python 2.7 package with examples for evaluating a network's ability to group a given node set in network proximity.☆33Mar 24, 2023Updated 2 years ago
- ☆18May 24, 2018Updated 7 years ago
- NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions☆77May 13, 2021Updated 4 years ago
- using graph convolutional neural network and spaital transcriptomics data to infer cell-cell interactions☆55Jun 15, 2021Updated 4 years ago
- An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.☆161May 17, 2022Updated 3 years ago
- A Representation Learning Framework for Property Graphs☆11Dec 21, 2019Updated 6 years ago
- Pathway visualization and analysis tool for Pathway Commons and other BioPAX data☆14May 25, 2022Updated 3 years ago
- Python library (C++ backend) for degree-preserving network randomization☆14Oct 14, 2019Updated 6 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆31Sep 27, 2021Updated 4 years ago
- ☆29Oct 10, 2017Updated 8 years ago
- Energy-based Graph Convolutional Networks for Scoring Protein Docking Models☆12Aug 31, 2021Updated 4 years ago
- NeST-VNN repo☆12Jun 13, 2025Updated 8 months ago
- A toolbox for predicting miRNA-disease associations☆11Jan 14, 2017Updated 9 years ago
- Code for the Paper "Predicting the Possibility of COVID-19 Infection Using Fuzzy Logic System" (IJIIDS, Vol 14, 2021)☆15Jul 18, 2022Updated 3 years ago
- Python package for matrix storage and operations on hetnets☆14Mar 30, 2023Updated 2 years ago
- Bayesian Active Learning for Optimization and Uncertainty Quantification with Applications to Protein Docking☆13Apr 28, 2021Updated 4 years ago
- Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”☆28Feb 28, 2022Updated 3 years ago
- Realizing DTINet with python☆27May 11, 2018Updated 7 years ago
- ☆14Sep 1, 2022Updated 3 years ago
- ☆14Jun 16, 2020Updated 5 years ago
- The implementation of “GANLDA: Graph attention network for lncRNA-disease associations prediction”☆14Oct 10, 2021Updated 4 years ago
- Discovering novel cell types across heterogenous single-cell experiments☆123Dec 8, 2022Updated 3 years ago
- This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional …☆166Nov 28, 2020Updated 5 years ago
- Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"☆170Dec 13, 2021Updated 4 years ago