ArticleOncotarget2016
FMLNCSIM: fuzzy measure-based lncRNA functional similarity calculation model.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Genome-wide analyses of long noncoding RNA expression profiles in lung adenocarcinoma.Scientific reports · 2017Trial
- Meta-signature LncRNAs serve as novel biomarkers for colorectal cancer: integrated bioinformatics analysis, experimental validation and diagnostic evaluation.Scientific reports · 2017Trial
- Computational Method Using Attribute-Aware Message Passing and Graph Convolutional Network for Potential miRNA-Disease Association Prediction.International journal of molecular sciences · 2026Article
- Machine learning approaches for predicting the small molecule-miRNA associations: a comprehensive review.Molecular diversity · 2025Review
- GEnDDn: An lncRNA-Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network.Interdisciplinary sciences, computational life sciences · 2024Article
- DeepWalk based method to predict lncRNA-miRNA associations via lncRNA-miRNA-disease-protein-drug graph.BMC bioinformatics · 2022Review
- Fusion of KATZ measure and space projection to fast probe potential lncRNA-disease associations in bipartite graphs.PloS one · 2021Article
- IDSSIM: an lncRNA functional similarity calculation model based on an improved disease semantic similarity method.BMC bioinformatics · 2020Article
- DBMDA: A Unified Embedding for Sequence-Based miRNA Similarity Measure with Applications to Predict and Validate miRNA-Disease Associations.Molecular therapy. Nucleic acids · 2020Article
- LDAI-ISPS: LncRNA-Disease Associations Inference Based on Integrated Space Projection Scores.International journal of molecular sciences · 2020Article
- BHCMDA: A New Biased Heat Conduction Based Method for Potential MiRNA-Disease Association Prediction.Frontiers in genetics · 2020Article
- Inferring lncRNA Functional Similarity Based on Integrating Heterogeneous Network Data.Frontiers in bioengineering and biotechnology · 2020Article
- Identifying Small Molecule-miRNA Associations Based on Credible Negative Sample Selection and Random Walk.Frontiers in bioengineering and biotechnology · 2020Article
- Article
- Dual Laplacian regularized matrix completion for microRNA-disease associations prediction.RNA biology · 2019Article
- Prediction of lncRNA-disease associations by integrating diverse heterogeneous information sources with RWR algorithm and positive pointwise mutual information.BMC bioinformatics · 2019Article
- LncRNA-Disease Association Prediction Using Two-Side Sparse Self-Representation.Frontiers in genetics · 2019Article
- A Novel Approach Based on Bipartite Network Recommendation and KATZ Model to Predict Potential Micro-Disease Associations.Frontiers in genetics · 2019Article
- Laplacian normalization and bi-random walks on heterogeneous networks for predicting lncRNA-disease associations.BMC systems biology · 2018Article
- FMSM: a novel computational model for predicting potential miRNA biomarkers for various human diseases.BMC systems biology · 2018Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Accumulating experimental studies have indicated the influence of lncRNAs on various critical biological processes as well as disease development and progression. Calculating lncRNA functional similarity is of high value in inferring lncRNA functions and identifying potential lncRNA-disease associations. However, little effort has been attempt to measure the functional similarity among lncRNAs on a large scale. In this study, we developed a Fuzzy Measure-based LNCRNA functional SIMilarity calculation model (FMLNCSIM) based on the assumption that functionally similar lncRNAs tend to be associated with similar diseases. The performance improvement of FMLNCSIM mainly comes from the combination of information content and the concept of fuzzy measure, which was applied to the directed acyclic graphs of disease MeSH descriptors. To evaluate the effectiveness of FMLNCSIM, we further combined it with the previously proposed model of Laplacian Regularized Least Squares for lncRNA-Disease Association (LRLSLDA). As a result, the integrated model, LRLSLDA-FMLNCSIM, achieve good performance in the frameworks of global LOOCV (AUCs of 0.8266 and 0.9338 based on LncRNADisease and MNDR database) and 5-fold cross validation (average AUCs of 0.7979 and 0.9237 based on LncRNADisease and MNDR database), which significantly improve the performance of previous classical models. It is anticipated that FMLNCSIM could be used for searching functionally similar lncRNAs and inferring lncRNA functions in the future researches.
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