MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
MDA-SKF: Similarity Kernel Fusion for Accurately Discovering miRNA-Disease Association
Authors
Keywords
-
Journal
Frontiers in Genetics
Volume 9, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2018-12-10
DOI
10.3389/fgene.2018.00618
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Prediction of potential disease-associated microRNAs using structural perturbation method
- (2018) Xiangxiang Zeng et al. BIOINFORMATICS
- Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks
- (2018) Jiawei Luo et al. NEUROCOMPUTING
- Sequence clustering in bioinformatics: an empirical study
- (2018) Quan Zou et al. BRIEFINGS IN BIOINFORMATICS
- Prediction and Validation of Disease Genes Using HeteSim Scores
- (2017) Xiangxiang Zeng et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Inferring MicroRNA-Disease Associations by Random Walk on a Heterogeneous Network with Multiple Data Sources
- (2017) Yuansheng Liu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- A novel approach for predicting microRNA-disease associations by unbalanced bi-random walk on heterogeneous network
- (2017) Jiawei Luo et al. JOURNAL OF BIOMEDICAL INFORMATICS
- A novel computational model based on super-disease and miRNA for potential miRNA–disease association prediction
- (2017) Xing Chen et al. Molecular BioSystems
- RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction
- (2017) Xing Chen et al. RNA Biology
- MCMDA: Matrix completion for MiRNA-disease association prediction
- (2017) Jian-Qiang Li et al. Oncotarget
- Improved low-rank matrix recovery method for predicting miRNA-disease association
- (2017) Li Peng et al. Scientific Reports
- LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction
- (2017) Xing Chen et al. PLoS Computational Biology
- A comprehensive overview and evaluation of circular RNA detection tools
- (2017) Xiangxiang Zeng et al. PLoS Computational Biology
- PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction
- (2017) Zhu-Hong You et al. PLoS Computational Biology
- Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data
- (2017) Jiawei Luo et al. IEEE Access
- Identification of miRNA Changes in Alzheimer's Disease Brain and CSF Yields Putative Biomarkers and Insights into Disease Pathways
- (2017) John P. Cogswell et al. JOURNAL OF ALZHEIMERS DISEASE
- LDAP: a web server for lncRNA-disease association prediction
- (2016) Wei Lan et al. BIOINFORMATICS
- Predicting microRNA-disease associations based on improved microRNA and disease similarities
- (2016) Wei Lan et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- WBSMDA: Within and Between Score for MiRNA-Disease Association prediction
- (2016) Xing Chen et al. Scientific Reports
- Prediction of potential disease-associated microRNAs based on random walk
- (2015) Ping Xuan et al. BIOINFORMATICS
- 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
- Similarity network fusion for aggregating data types on a genomic scale
- (2014) Bo Wang et al. NATURE METHODS
- Semi-supervised learning for potential human microRNA-disease associations inference
- (2014) Xing Chen et al. Scientific Reports
- HMDD v2.0: a database for experimentally supported human microRNA and disease associations
- (2013) Yang Li et al. NUCLEIC ACIDS RESEARCH
- miRBase: annotating high confidence microRNAs using deep sequencing data
- (2013) Ana Kozomara et al. NUCLEIC ACIDS RESEARCH
- Correction: Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors
- (2013) Ping Xuan et al. PLoS One
- SIDD: A Semantically Integrated Database towards a Global View of Human Disease
- (2013) Liang Cheng et al. PLoS One
- RWRMDA: predicting novel human microRNA–disease associations
- (2012) Xing Chen et al. Molecular BioSystems
- Prioritizing candidate disease genes by network-based boosting of genome-wide association data
- (2011) I. Lee et al. GENOME RESEARCH
- Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
- (2010) Dong Wang et al. BIOINFORMATICS
- Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces
- (2010) Zheng Xia et al. BMC Systems Biology
- Origins and Mechanisms of miRNAs and siRNAs
- (2009) Richard W. Carthew et al. CELL
- MicroRNA signatures characterize diffuse large B-cell lymphomas and follicular lymphomas
- (2008) Anja Roehle et al. BRITISH JOURNAL OF HAEMATOLOGY
- miR2Disease: a manually curated database for microRNA deregulation in human disease
- (2008) Q. Jiang et al. NUCLEIC ACIDS RESEARCH
Add 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 NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started