ArticleScientific reports2016
Network Consistency Projection for Human miRNA-Disease Associations Inference.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
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Who cites it
41 citing papers in PubMed.
- Multi-granularity transformer contrastive learning and feature reconstruction for prediction of disease-related miRNAs.BMC bioinformatics · 2026Article
- Biology-Informed Matrix Factorization: An AI-Driven Framework for Enhanced Drug Repositioning.Biology · 2025Article
- Herb-disease association prediction model based on network consistency projection.Scientific reports · 2025Article
- CMAGN: circRNA-miRNA association prediction based on graph attention auto-encoder and network consistency projection.BMC bioinformatics · 2024Article
- DAE-CFR: detecting microRNA-disease associations using deep autoencoder and combined feature representation.BMC bioinformatics · 2024Article
- Article
- DAEMDA: A Method with Dual-Channel Attention Encoding for miRNA-Disease Association Prediction.Biomolecules · 2023Article
- BMPMDA: Prediction of MiRNA-Disease Associations Using a Space Projection Model Based on Block Matrix.Interdisciplinary sciences, computational life sciences · 2023Article
- lncRNA-disease association prediction based on the weight matrix and projection score.PloS one · 2023Article
- RFLMDA: A Novel Reinforcement Learning-Based Computational Model for Human MicroRNA-Disease Association Prediction.Biomolecules · 2021Article
- A deep learning ensemble approach to prioritize antiviral drugs against novel coronavirus SARS-CoV-2 for COVID-19 drug repurposing.Applied soft computing · 2021Article
- Predicting miRNA-disease associations using improved random walk with restart and integrating multiple similarities.Scientific reports · 2021Article
- Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study.Applied soft computing · 2021Article
- Predicting Drug-Disease Association Based on Ensemble Strategy.Frontiers in genetics · 2021Article
- MicroRNA-disease association prediction by matrix tri-factorization.BMC genomics · 2020Article
- Predicting miRNA-based disease-disease relationships through network diffusion on multi-omics biological data.Scientific reports · 2020Article
- Prediction of Potential Associations Between miRNAs and Diseases Based on Matrix Decomposition.Frontiers in genetics · 2020Article
- Repositioning Drugs on Human Influenza A Viruses Based on a Novel Nuclear Norm Minimization Method.Frontiers in physiology · 2020Article
- A Computational Study of Potential miRNA-Disease Association Inference Based on Ensemble Learning and Kernel Ridge Regression.Frontiers in bioengineering and biotechnology · 2020Article
- Inferring Disease-Associated Microbes Based on Multi-Data Integration and Network Consistency Projection.Frontiers in bioengineering and biotechnology · 2020Article
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Prediction and confirmation of the presence of disease-related miRNAs is beneficial to understand disease mechanisms at the miRNA level. However, the use of experimental verification to identify disease-related miRNAs is expensive and time-consuming. Effective computational approaches used to predict miRNA-disease associations are highly specific. In this study, we develop the Network Consistency Projection for miRNA-Disease Associations (NCPMDA) method to reveal the potential associations between miRNAs and diseases. NCPMDA is a non-parametric universal network-based method that can simultaneously predict miRNA-disease associations in all diseases but does not require negative samples. NCPMDA can also confirm the presence of miRNAs in isolated diseases (diseases without any known miRNA association). Leave-one-out cross validation and case studies have shown that the predictive performance of NCPMDA is superior over that of previous method.
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