ArticleFrontiers in genetics2019
Predicting Gene Ontology Function of Human MicroRNAs by Integrating Multiple Networks.
Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Review
- Methods to Investigate miRNA Function: Focus on Platelet Reactivity.Thrombosis and haemostasis · 2021Review
- PRYNT: a tool for prioritization of disease candidates from proteomics data using a combination of shortest-path and random walk algorithms.Scientific reports · 2021Article
- Prioritizing Disease-Related Microbes Based on the Topological Properties of a Comprehensive Network.Frontiers in microbiology · 2021Article
- Identification of Biomarkers for Cervical Cancer Radiotherapy Resistance Based on RNA Sequencing Data.Frontiers in cell and developmental biology · 2021Article
- microRNAs, the Link Between Dengue Virus and the Host Genome.Frontiers in microbiology · 2021Review
- Predicting Preference of Transcription Factors for Methylated DNA Using Sequence Information.Molecular therapy. Nucleic acids · 2020Article
- DeepciRGO: functional prediction of circular RNAs through hierarchical deep neural networks using heterogeneous network features.BMC bioinformatics · 2020Article
- Identification and Annotation of Potential Function of Regulatory Antisense Long Non-Coding RNAs Related to Feed Efficiency inInternational journal of molecular sciences · 2020Article
- PreDBA: A heterogeneous ensemble approach for predicting protein-DNA binding affinity.Scientific reports · 2020Article
- Discrimination of Thermophilic Proteins and Non-thermophilic Proteins Using Feature Dimension Reduction.Frontiers in bioengineering and biotechnology · 2020Article
- GBDTL2E: Predicting lncRNA-EF Associations Using Diffusion and HeteSim Features Based on a Heterogeneous Network.Frontiers in genetics · 2020Article
- A Literature Review of Gene Function Prediction by Modeling Gene Ontology.Frontiers in genetics · 2020Review
- Prediction of Anticancer Peptides Using a Low-Dimensional Feature Model.Frontiers in bioengineering and biotechnology · 2020Article
- DeepMiR2GO: Inferring Functions of Human MicroRNAs Using a Deep Multi-Label Classification Model.International journal of molecular sciences · 2019Article
- The Emerging Role of Major Regulatory RNAs in Cancer Control.Frontiers in oncology · 2019Review
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) have been demonstrated to play significant biological roles in many human biological processes. Inferring the functions of miRNAs is an important strategy for understanding disease pathogenesis at the molecular level. In this paper, we propose an integrated model, PmiRGO, to infer the gene ontology (GO) functions of miRNAs by integrating multiple data sources, including the expression profiles of miRNAs, miRNA-target interactions, and protein-protein interactions (PPI). PmiRGO starts by building a global network consisting of three networks. Then, it employs DeepWalk to learn latent representations as network features of the global heterogeneous network. Finally, the SVM-based models are applied to label the GO terms of miRNAs. The experimental results show that PmiRGO has a significantly better performance than existing state-of-the-art methods in terms of
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