ArticleComputational and mathematical methods in medicine2019
A Novel Neighborhood-Based Computational Model for Potential MiRNA-Disease Association Prediction.
Article in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- KATZNCP: a miRNA-disease association prediction model integrating KATZ algorithm and network consistency projection.BMC bioinformatics · 2023Article
- Predicting miRNA-disease associations via layer attention graph convolutional network model.BMC medical informatics and decision making · 2022Article
- Artificial Intelligence in Epigenetic Studies: Shedding Light on Rare Diseases.Frontiers in molecular biosciences · 2021Review
- Predicting metabolite-disease associations based on KATZ model.BioData mining · 2019Article
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Authors and funding
4 authors.
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Abstract
In recent years, more and more studies have shown that miRNAs can affect a variety of biological processes. It is important for disease prevention, treatment, diagnosis, and prognosis to study the relationships between human diseases and miRNAs. However, traditional experimental methods are time-consuming and labour-intensive. Hence, in this paper, a novel neighborhood-based computational model called NBMDA is proposed for predicting potential miRNA-disease associations. Due to the fact that known miRNA-disease associations are very rare and many diseases (or miRNAs) are associated with only one or a few miRNAs (or diseases), in NBMDA, the
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