A Novel Computational Model for Predicting microRNA–Disease Associations Based on Heterogeneous Graph Convolutional Networks
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Novel Computational Model for Predicting microRNA–Disease Associations Based on Heterogeneous Graph Convolutional Networks
Authors
Keywords
-
Journal
Cells
Volume 8, Issue 9, Pages 977
Publisher
MDPI AG
Online
2019-08-26
DOI
10.3390/cells8090977
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Enhancing the prediction of disease–gene associations with multimodal deep learning
- (2019) Ping Luo et al. BIOINFORMATICS
- Prediction of potential disease-associated microRNAs using structural perturbation method
- (2018) Xiangxiang Zeng et al. BIOINFORMATICS
- Modeling polypharmacy side effects with graph convolutional networks
- (2018) Marinka Zitnik et al. BIOINFORMATICS
- BNPMDA: Bipartite Network Projection for MiRNA–Disease Association prediction
- (2018) Xing Chen et al. BIOINFORMATICS
- Predicting miRNA–disease association based on inductive matrix completion
- (2018) Xing Chen et al. BIOINFORMATICS
- Inferring potential small molecule–miRNA association based on triple layer heterogeneous network
- (2018) Jia Qu et al. Journal of Cheminformatics
- GLNMDA: a novel method for miRNA-disease association prediction based on global linear neighborhoods
- (2018) Sheng-Peng Yu et al. RNA Biology
- MCLPMDA: A novel method for miRNA-disease association prediction based on matrix completion and label propagation
- (2018) Sheng-Peng Yu et al. JOURNAL OF CELLULAR AND MOLECULAR MEDICINE
- HMDD v3.0: a database for experimentally supported human microRNA–disease associations
- (2018) Zhou Huang et al. NUCLEIC ACIDS RESEARCH
- Meta-path methods for prioritizing candidate disease miRNAs
- (2017) Xuan Zhang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Disease Gene Prediction by Integrating PPI Networks, Clinical RNA-Seq Data and OMIM Data
- (2017) Ping Luo et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Prediction and validation of association between microRNAs and diseases by multipath methods
- (2016) Xiangxiang Zeng et al. BIOCHIMICA ET BIOPHYSICA ACTA-GENERAL SUBJECTS
- The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
- (2016) Damian Szklarczyk et al. NUCLEIC ACIDS RESEARCH
- MicroRNA-145 Negatively Regulates Cell Proliferation Through Targeting IRS1 in Isolated Ovarian Granulosa Cells From Patients With Polycystic Ovary Syndrome
- (2016) Guoqing Cai et al. Reproductive Sciences
- Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks
- (2015) Xiangxiang Zeng et al. BRIEFINGS IN BIOINFORMATICS
- Similarity computation strategies in the microRNA-disease network: a survey
- (2015) Quan Zou et al. Briefings in Functional Genomics
- Database resources of the National Center for Biotechnology Information
- (2015) NUCLEIC ACIDS RESEARCH
- Uncovering disease-disease relationships through the incomplete interactome
- (2015) J. Menche et al. SCIENCE
- MicroRNA-223 Expression Is Upregulated in Insulin Resistant Human Adipose Tissue
- (2015) Tung-Yueh Chuang et al. Journal of Diabetes Research
- A Proteome-Scale Map of the Human Interactome Network
- (2014) Thomas Rolland et al. CELL
- Altered microRNA and gene expression in the follicular fluid of women with polycystic ovary syndrome
- (2014) Lauren W. Roth et al. JOURNAL OF ASSISTED REPRODUCTION AND GENETICS
- The BioGRID interaction database: 2015 update
- (2014) Andrew Chatr-aryamontri et al. NUCLEIC ACIDS RESEARCH
- MicroRNAs Related to Polycystic Ovary Syndrome (PCOS)
- (2014) Anja Sørensen et al. Genes
- Osteosarcoma treatment – Where do we stand? A state of the art review
- (2013) Anja Luetke et al. CANCER TREATMENT REVIEWS
- miRTarBase update 2014: an information resource for experimentally validated miRNA-target interactions
- (2013) Sheng-Da Hsu et al. NUCLEIC ACIDS RESEARCH
- miRBase: annotating high confidence microRNAs using deep sequencing data
- (2013) Ana Kozomara et al. NUCLEIC ACIDS RESEARCH
- Positive-unlabeled learning for disease gene identification
- (2012) Peng Yang et al. BIOINFORMATICS
- Database resources of the National Center for Biotechnology Information
- (2012) NUCLEIC ACIDS RESEARCH
- Wavelets on graphs via spectral graph theory
- (2010) David K. Hammond et al. APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS
- The Comparative Toxicogenomics Database: update 2011
- (2010) A. P. Davis et al. NUCLEIC ACIDS RESEARCH
- Matrix Factorization Techniques for Recommender Systems
- (2009) Yehuda Koren et al. COMPUTER
- A navigator for human genome epidemiology
- (2008) Wei Yu et al. NATURE GENETICS
- miR2Disease: a manually curated database for microRNA deregulation in human disease
- (2008) Q. Jiang et al. NUCLEIC ACIDS RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now