ArticleScientific reports2017
Global Prioritizing Disease Candidate lncRNAs via a Multi-level Composite Network.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Graph Convolutional Network and Contrastive Learning Small Nucleolar RNA (snoRNA) Disease Associations (GCLSDA): Predicting snoRNA-Disease Associations via Graph Convolutional Network and Contrastive Learning.International journal of molecular sciences · 2023Article
- Association filtering and generative adversarial networks for predicting lncRNA-associated disease.BMC bioinformatics · 2023Article
- DLRAPom: a hybrid pipeline of Optimized XGBoost-guided integrative multiomics analysis for identifying targetable disease-related lncRNA-miRNA-mRNA regulatory axes.Briefings in bioinformatics · 2022Article
- SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec.BMC bioinformatics · 2021Article
- BiGAN: LncRNA-disease association prediction based on bidirectional generative adversarial network.BMC bioinformatics · 2021Article
- A machine learning framework that integrates multi-omics data predicts cancer-related LncRNAs.BMC bioinformatics · 2021Article
- Heterogeneous graph inference based on similarity network fusion for predicting lncRNA-miRNA interaction.RSC advances · 2020Article
- LDAI-ISPS: LncRNA-Disease Associations Inference Based on Integrated Space Projection Scores.International journal of molecular sciences · 2020Article
- A novel mechanism by which ACTA2-AS1 promotes cervical cancer progression: acting as a ceRNA of miR-143-3p to regulate SMAD3 expression.Cancer cell international · 2020Article
- LDAPred: A Method Based on Information Flow Propagation and a Convolutional Neural Network for the Prediction of Disease-Associated lncRNAs.International journal of molecular sciences · 2019Article
- Article
- Identification of lung-adenocarcinoma-related long non-coding RNAs by random walking on a competing endogenous RNA network.Annals of translational medicine · 2019Article
- A Novel Network-Based Computational Model for Prediction of Potential LncRNA⁻Disease Association.International journal of molecular sciences · 2019Article
- Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information.BMC bioinformatics · 2019Article
- Dual Convolutional Neural Networks With Attention Mechanisms Based Method for Predicting Disease-Related lncRNA Genes.Frontiers in genetics · 2019Article
- Identification and Analysis of Human Microbe-Disease Associations by Matrix Decomposition and Label Propagation.Frontiers in microbiology · 2019Article
- Prediction of potential disease-associated microRNAs by composite network based inference.Scientific reports · 2018Article
- Long Noncoding RNA LINC01133 Functions as an miR-422a Sponge to Aggravate the Tumorigenesis of Human Osteosarcoma.Oncology research · 2018Article
- Article
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10 authors.
Funding
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Abstract
LncRNAs play pivotal roles in many important biological processes, but research on the functions of lncRNAs in human disease is still in its infancy. Therefore, it is urgent to prioritize lncRNAs that are potentially associated with diseases. In this work, we developed a novel algorithm, LncPriCNet, that uses a multi-level composite network to prioritize candidate lncRNAs associated with diseases. By integrating genes, lncRNAs, phenotypes and their associations, LncPriCNet achieves an overall performance superior to that of previous methods, with high AUC values of up to 0.93. Notably, LncPriCNet still performs well when information on known disease lncRNAs is lacking. When applied to breast cancer, LncPriCNet identified known breast cancer-related lncRNAs, revealed novel lncRNA candidates and inferred their functions via pathway analysis. We further constructed the human disease-lncRNA landscape, revealed the modularity of the disease-lncRNA network and identified several lncRNA hotspots. In summary, LncPriCNet is a useful tool for prioritizing disease-related lncRNAs and may facilitate understanding of the molecular mechanisms of human disease at the lncRNA level.
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