ArticleNucleic acids research2018
MNDR v2.0: an updated resource of ncRNA-disease associations in mammals.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 1 of them a synthesis that pooled it.
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Who cites it
103 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computational resources associating diseases with genotypes, phenotypes and exposures.Briefings in bioinformatics · 2019Pooled it
- iLDA-SGCN: Identifying Associations Between Age-Related Diseases and Long Non-Coding RNAs Using Dual Graph Convolutional Networks.Aging cell · 2026Article
- Self-supervised learning on graphs predicts non-coding RNA and disease associations.Scientific reports · 2026Article
- Differentially Expressed Salivary miRNAs in Temporomandibular Disorders.Orthodontics & craniofacial research · 2025Article
- Revealing new associations between lncRNAs and diseases through cross attention mechanism and multiple level feature fusion.Scientific reports · 2025Article
- MLWNNR: LncRNA-Disease Association Prediction with Multi-Kernel Learning-Driven Weighted Nuclear Norm Regularization.Interdisciplinary sciences, computational life sciences · 2025Article
- Decoding potential lncRNA and disease associations through graph representation learning and gradient boosting with histogram.Scientific reports · 2025Article
- LDA-SCGB: inferring lncRNA-disease associations based on condensed gradient boosting.BMC bioinformatics · 2025Article
- Predicting lncRNA and disease associations with graph autoencoder and noise robust gradient boosting.Scientific reports · 2025Article
- A novel end-to-end learning framework for inferring lncRNA-disease associations based on convolution neural network.Frontiers in genetics · 2025Article
- Computational Resources for lncRNA Functions and Targetome.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Advances in the mechanism of small nucleolar RNA and its role in DNA damage response.Military Medical Research · 2024Review
- Non-Coding RNAs Extended Omnigenic Module of Cancers.Entropy (Basel, Switzerland) · 2024Article
- GEnDDn: An lncRNA-Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network.Interdisciplinary sciences, computational life sciences · 2024Article
- Neighborhood based computational approaches for the prediction of lncRNA-disease associations.BMC bioinformatics · 2024Article
- Finding potential lncRNA-disease associations using a boosting-based ensemble learning model.Frontiers in genetics · 2024Article
- LDA-VGHB: identifying potential lncRNA-disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine.Briefings in bioinformatics · 2023Article
- GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization.BMC genomics · 2023Article
- Computational prediction of disease related lncRNAs using machine learning.Scientific reports · 2023Article
- Predicting potential lncRNA biomarkers for lung cancer and neuroblastoma based on an ensemble of a deep neural network and LightGBM.Frontiers in genetics · 2023Article
43 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors.
Funding
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Abstract
Accumulating evidence suggests that diverse non-coding RNAs (ncRNAs) are involved in the progression of a wide variety of diseases. In recent years, abundant ncRNA-disease associations have been found and predicted according to experiments and prediction algorithms. Diverse ncRNA-disease associations are scattered over many resources and mammals, whereas a global view of diverse ncRNA-disease associations is not available for any mammals. Hence, we have updated the MNDR v2.0 database (www.rna-society.org/mndr/) by integrating experimental and prediction associations from manual literature curation and other resources under one common framework. The new developments in MNDR v2.0 include (i) an over 220-fold increase in ncRNA-disease associations enhancement compared with the previous version (including lncRNA, miRNA, piRNA, snoRNA and more than 1400 diseases); (ii) integrating experimental and prediction evidence from 14 resources and prediction algorithms for each ncRNA-disease association; (iii) mapping disease names to the Disease Ontology and Medical Subject Headings (MeSH); (iv) providing a confidence score for each ncRNA-disease association and (v) an increase of species coverage to six mammals. Finally, MNDR v2.0 intends to provide the scientific community with a resource for efficient browsing and extraction of the associations between diverse ncRNAs and diseases, including >260 000 ncRNA-disease associations.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.