A Semi-Supervised Learning Algorithm for Predicting Four Types MiRNA-Disease Associations by Mutual Information in a Heterogeneous Network
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Semi-Supervised Learning Algorithm for Predicting Four Types MiRNA-Disease Associations by Mutual Information in a Heterogeneous Network
Authors
Keywords
-
Journal
Genes
Volume 9, Issue 3, Pages 139
Publisher
MDPI AG
Online
2018-03-03
DOI
10.3390/genes9030139
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- miR-19b promotes breast cancer metastasis through targeting MYLIP and its related cell adhesion molecules
- (2017) Luqing Zhao et al. Oncotarget
- MicroRNAs in lung cancer
- (2017) Diana Castro et al. Oncotarget
- Prediction of drug–target interaction by label propagation with mutual interaction information derived from heterogeneous network
- (2016) Xiao-Ying Yan et al. Molecular BioSystems
- Prediction of miRNA-disease associations with a vector space model
- (2016) Claude Pasquier et al. Scientific Reports
- Network Consistency Projection for Human miRNA-Disease Associations Inference
- (2016) Changlong Gu et al. Scientific Reports
- ComiRNet: a web-based system for the analysis of miRNA-gene regulatory networks
- (2015) Gianvito Pio et al. BMC BIOINFORMATICS
- Integrative approaches for predicting microRNA function and prioritizing disease-related microRNA using biological interaction networks
- (2015) Xiangxiang Zeng et al. BRIEFINGS IN BIOINFORMATICS
- Hsa-miR-1 suppresses breast cancer development by down-regulating K-ras and long non-coding RNA MALAT1
- (2015) Ruilei Liu et al. INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
- Aberrant plasma levels of circulating miR-16, miR-107, miR-130a and miR-146a are associated with lymph node metastasis and receptor status of breast cancer patients
- (2015) Isabel Stückrath et al. Oncotarget
- RBMMMDA: predicting multiple types of disease-microRNA associations
- (2015) Xing Chen et al. Scientific Reports
- Semi-Supervised Multi-View Learning for Gene Network Reconstruction
- (2015) Michelangelo Ceci et al. PLoS One
- Breast Cancer: Epidemiology and Etiology
- (2014) ZiQi Tao et al. CELL BIOCHEMISTRY AND BIOPHYSICS
- Circulating microRNA profiling in patients with advanced non-squamous NSCLC receiving bevacizumab/erlotinib followed by platinum-based chemotherapy at progression (SAKK 19/05)
- (2014) M. Joerger et al. LUNG CANCER
- MicroRNA-146a rs2910164 polymorphism is associated with susceptibility to non-small cell lung cancer in the Chinese population
- (2014) Youchao Jia et al. MEDICAL ONCOLOGY
- miR-143 inhibits cell proliferation by targeting autophagy-related 2B in non-small cell lung cancer H1299 cells
- (2014) JIALI WEI et al. Molecular Medicine Reports
- MicroRNA-133a Suppresses Multiple Oncogenic Membrane Receptors and Cell Invasion in Non-Small Cell Lung Carcinoma
- (2014) Lu-Kai Wang et al. PLoS One
- MicroRNAs as Therapeutic Targets and Biomarkers of Cardiovascular Disease
- (2014) E. N. Olson Science Translational Medicine
- MicroRNA-34a inhibits the proliferation and promotes the apoptosis of non-small cell lung cancer H1299 cell line by targeting TGFβR2
- (2014) Zhong-Liang Ma et al. TUMOR BIOLOGY
- Serum miR-152, miR-148a, miR-148b, and miR-21 as novel biomarkers in non-small cell lung cancer screening
- (2014) Jin-shan Yang et al. TUMOR BIOLOGY
- Semi-supervised learning for potential human microRNA-disease associations inference
- (2014) Xing Chen et al. Scientific Reports
- Protein-driven inference of miRNA-disease associations
- (2013) S. Mork et al. BIOINFORMATICS
- MicroRNA-21 promotes hepatocellular carcinoma HepG2 cell proliferation through repression of mitogen-activated protein kinase-kinase 3
- (2013) Guangxian Xu et al. BMC CANCER
- Similarity-based methods for potential human microRNA-disease association prediction
- (2013) Hailin Chen et al. BMC Medical Genomics
- Inferring drug-disease associations from integration of chemical, genomic and phenotype data using network propagation
- (2013) Yu-Fen Huang et al. BMC Medical Genomics
- microRNA-133a regulates the cell cycle and proliferation of breast cancer cells by targeting epidermal growth factor receptor through the EGFR/Akt signaling pathway
- (2013) Wenjing Cui et al. FEBS Journal
- Downregulation of cell-free miR-198 as a diagnostic biomarker for lung adenocarcinoma-associated malignant pleural effusion
- (2013) Hye-Suk Han et al. INTERNATIONAL JOURNAL OF CANCER
- Predicting human microRNA-disease associations based on support vector machine
- (2013) Qinghua Jiang et al. International Journal of Data Mining and Bioinformatics
- HMDD v2.0: a database for experimentally supported human microRNA and disease associations
- (2013) Yang Li 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
- Excess body weight and second primary cancer risk after breast cancer: a systematic review and meta-analysis of prospective studies
- (2012) Nathalie Druesne-Pecollo et al. BREAST CANCER RESEARCH AND TREATMENT
- MicroRNA-1 targets Slug and endows lung cancer A549 cells with epithelial and anti-tumorigenic properties
- (2012) Eiji Tominaga et al. EXPERIMENTAL CELL RESEARCH
- miR-137 inhibits the proliferation of lung cancer cells by targeting Cdc42 and Cdk6
- (2012) Xiaolan Zhu et al. FEBS LETTERS
- microRNAs in cancer management
- (2012) Yi W Kong et al. LANCET ONCOLOGY
- Wisdom of crowds for robust gene network inference
- (2012) Daniel Marbach et al. NATURE METHODS
- Novel Direct Targets of miR-19a Identified in Breast Cancer Cells by a Quantitative Proteomic Approach
- (2012) Mamoru Ouchida et al. PLoS One
- Serum MicroRNA-155 as a Potential Biomarker to Track Disease in Breast Cancer
- (2012) Yu Sun et al. PLoS One
- Gaussian interaction profile kernels for predicting drug–target interaction
- (2011) Twan van Laarhoven et al. BIOINFORMATICS
- miRTar: an integrated system for identifying miRNA-target interactions in human
- (2011) Justin Hsu et al. BMC BIOINFORMATICS
- An HNF4α-miRNA Inflammatory Feedback Circuit Regulates Hepatocellular Oncogenesis
- (2011) Maria Hatziapostolou et al. CELL
- miR-101 DNA Copy Loss is a Prominent Subtype Specific Event in Lung Cancer
- (2011) Kelsie L. Thu et al. Journal of Thoracic Oncology
- 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
- A microRNA regulon that mediates endothelial recruitment and metastasis by cancer cells
- (2011) Kim J. Png et al. NATURE
- Evolution and Functional Diversification ofMIRNAGenes
- (2011) Josh T. Cuperus et al. PLANT CELL
- 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
- The Silencing of MicroRNA 148a Production by DNA Hypermethylation Is an Early Event in Pancreatic Carcinogenesis
- (2010) N. Hanoun et al. CLINICAL CHEMISTRY
- Learning a Propagable Graph for Semisupervised Learning: Classification and Regression
- (2010) Bingbing Ni et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- The widespread regulation of microRNA biogenesis, function and decay
- (2010) Jacek Krol et al. NATURE REVIEWS GENETICS
- MicroRNAs: Target Recognition and Regulatory Functions
- (2009) David P. Bartel CELL
- 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
- Epigenetic inactivation of microRNA genehsa-mir-9-1in human breast cancer
- (2007) U Lehmann et al. JOURNAL OF PATHOLOGY
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 NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started