BioinformaticsCSU / BNNR
BNNR is a novel computational method, which utilizes Bounded Nuclear Norm Regularization algorithm to identify potential novel indications for known or new drugs. The code in this package implements Bounded Nuclear Norm Regularization (BNNR) for drug repositioning, which is implemented in Matlab2014a.
☆11Updated 2 years ago
Alternatives and similar repositories for BNNR:
Users that are interested in BNNR are comparing it to the libraries listed below
- ☆23Updated 8 years ago
- ☆17Updated 6 years ago
- ☆10Updated 2 years ago
- ☆23Updated 2 years ago
- this is the source code and data☆18Updated 6 years ago
- Inferring disease-associated miRNAs☆10Updated 4 years ago
- NRLMFβ: Bata-distribution-rescored Neighborhood Regularized Logistic Matrix Factorization for Improving Performance of Drug–Target Intera…☆11Updated 3 years ago
- ☆10Updated 3 years ago
- Heterogeneous disease-gene-related☆18Updated 3 years ago
- Realizing DTINet with python☆27Updated 6 years ago
- ☆33Updated 6 years ago
- A toolbox for predicting miRNA-disease associations☆11Updated 8 years ago
- Prediction of lncRNA-disease associations based on inductive matrix completion☆20Updated 6 years ago
- The source codes for our paper submitted to Neurocomputing in 2017. We propose a linear label propagation method (LPLNP method) to predic…☆17Updated 7 years ago
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆22Updated last year
- Implementation of AEMDA for inferring potential disease-miRNA associations.☆13Updated 3 years ago
- ☆53Updated 5 years ago
- PGCN: Disease gene prioritization by disease and gene embedding through GCN☆77Updated 10 months ago
- Drug-target interaction prediction using deepWalk node embedding algorithm on drugBank☆11Updated 4 years ago
- Predicting lncRNA-disease associations in heterogeneous network based on deep learning method.☆12Updated 4 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 2 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆29Updated 2 years ago
- The implementation of “GANLDA: Graph attention network for lncRNA-disease associations prediction”☆14Updated 3 years ago
- A deep learning framework for predicting lncRNA–disease associations☆10Updated 4 years ago
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆25Updated 3 years ago
- ☆10Updated 3 years ago
- Random Walk with Restart on Multiplex and Heterogeneous Biological Networks☆36Updated 4 years ago
- A disease gene prediction algorithm based on multimodel deep belief net☆16Updated last year
- Predicting drug-target interactions using Lasso with random forest based on evolutionary information and chemical structure☆10Updated 6 years ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆27Updated 3 years ago