Identifying human microRNA–disease associations by a new diffusion-based method
Published 2015 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Identifying human microRNA–disease associations by a new diffusion-based method
Authors
Keywords
-
Journal
Journal of Bioinformatics and Computational Biology
Volume 13, Issue 04, Pages 1550014
Publisher
World Scientific Pub Co Pte Lt
Online
2015-04-06
DOI
10.1142/s0219720015500146
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles
- (2014) Ka-Chun Wong et al. BIOINFORMATICS
- SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences
- (2014) Ka-Chun Wong et al. BIOINFORMATICS
- Inferring probabilistic miRNA–mRNA interaction signatures in cancers: a role-switch approach
- (2014) Yue Li et al. NUCLEIC ACIDS RESEARCH
- Random generalized linear model: a highly accurate and interpretable ensemble predictor
- (2013) Lin Song et al. BMC BIOINFORMATICS
- Similarity-based methods for potential human microRNA-disease association prediction
- (2013) Hailin Chen et al. BMC Medical Genomics
- Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes
- (2013) Hongbo Shi et al. BMC Systems Biology
- Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors
- (2013) Ping Xuan et al. PLoS One
- RWRMDA: predicting novel human microRNA–disease associations
- (2012) Xing Chen et al. Molecular BioSystems
- Prediction of Disease-Related Interactions between MicroRNAs and Environmental Factors Based on a Semi-Supervised Classifier
- (2012) Xing Chen et al. PLoS One
- Uncover disease genes by maximizing information flow in the phenome-interactome network
- (2011) Y. Chen et al. BIOINFORMATICS
- Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA Target-Dysregulated Network: Case Study of Prostate Cancer
- (2011) J. Xu et al. MOLECULAR CANCER THERAPEUTICS
- Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases
- (2010) Dong Wang et al. BIOINFORMATICS
- dbDEMC: a database of differentially expressed miRNAs in human cancers
- (2010) Zhen Yang et al. BMC GENOMICS
- Prioritization of disease microRNAs through a human phenome-microRNAome network
- (2010) Qinghua Jiang et al. BMC Systems Biology
- Semi-supervised drug-protein interaction prediction from heterogeneous biological spaces
- (2010) Zheng Xia et al. BMC Systems Biology
- MutationTaster evaluates disease-causing potential of sequence alterations
- (2010) Jana Marie Schwarz et al. NATURE METHODS
- An Open Access Database of Genome-wide Association Results
- (2009) Andrew D Johnson et al. BMC Medical Genetics
- Short non-coding RNA biology and neurodegenerative disorders: novel disease targets and therapeutics
- (2009) M. S. Weinberg et al. HUMAN MOLECULAR GENETICS
- Active turnover modulates mature microRNA activity in Caenorhabditis elegans
- (2009) Saibal Chatterjee et al. NATURE
- The roles of microRNA in cancer and apoptosis
- (2008) Niamh Lynam-Lennon et al. BIOLOGICAL REVIEWS
- Prognostic Value of Mature MicroRNA-21 and MicroRNA-205 Overexpression in Non-Small Cell Lung Cancer by Quantitative Real-Time RT-PCR
- (2008) A. Markou et al. CLINICAL CHEMISTRY
- MicroRNA-221/222 Confers Tamoxifen Resistance in Breast Cancer by Targeting p27Kip1
- (2008) Tyler E. Miller et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- miR2Disease: a manually curated database for microRNA deregulation in human disease
- (2008) Q. Jiang et al. NUCLEIC ACIDS RESEARCH
- An Analysis of Human MicroRNA and Disease Associations
- (2008) Ming Lu et al. PLoS One
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