Adaptive boosting-based computational model for predicting potential miRNA-disease associations
出版年份 2019 全文链接
标题
Adaptive boosting-based computational model for predicting potential miRNA-disease associations
作者
关键词
-
出版物
BIOINFORMATICS
Volume -, Issue -, Pages -
出版商
Oxford University Press (OUP)
发表日期
2019-04-18
DOI
10.1093/bioinformatics/btz297
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Cancer statistics, 2018
- (2018) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- HMDD v3.0: a database for experimentally supported human microRNA–disease associations
- (2018) Zhou Huang et al. NUCLEIC ACIDS RESEARCH
- Downregulation of miR-199a/b-5p is associated with GCNT2 induction upon epithelial-mesenchymal transition in colon cancer
- (2017) Chia-Chun Chao et al. FEBS LETTERS
- Upregulation of miR-101 enhances the cytotoxic effect of anticancer drugs through inhibition of colon cancer cell proliferation
- (2017) Le-Gao Chen et al. ONCOLOGY REPORTS
- RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction
- (2017) Xing Chen et al. RNA Biology
- iDTI-ESBoost: Identification of Drug Target Interaction Using Evolutionary and Structural Features with Boosting
- (2017) Farshid Rayhan et al. Scientific Reports
- Large-scale prediction of microRNA-disease associations by combinatorial prioritization algorithm
- (2017) Hua Yu et al. Scientific Reports
- MiR-30e inhibits tumor growth and chemoresistance via targeting IRS1 in Breast Cancer
- (2017) Min-min Liu et al. Scientific Reports
- miR-20b reduces 5-FU resistance by suppressing the ADAM9/EGFR signaling pathway in colon cancer
- (2016) Qiang Fu et al. ONCOLOGY REPORTS
- WBSMDA: Within and Between Score for MiRNA-Disease Association prediction
- (2016) Xing Chen et al. Scientific Reports
- Prediction of miRNA-disease associations with a vector space model
- (2016) Claude Pasquier et al. Scientific Reports
- Prediction of potential disease-associated microRNAs based on random walk
- (2015) Ping Xuan et al. BIOINFORMATICS
- Global cancer statistics, 2012
- (2015) Lindsey A. Torre et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Differential expressions of cancer-associated genes and their regulatory miRNAs in colorectal carcinoma
- (2015) Murat Kara et al. GENE
- Butyrate inhibits pro-proliferative miR-92a by diminishing c-Myc-induced miR-17-92a cluster transcription in human colon cancer cells
- (2015) Shien Hu et al. Molecular Cancer
- RBMMMDA: predicting multiple types of disease-microRNA associations
- (2015) Xing Chen et al. Scientific Reports
- Breast Cancer: Epidemiology and Etiology
- (2014) ZiQi Tao et al. CELL BIOCHEMISTRY AND BIOPHYSICS
- MicroRNA-200 (miR-200) Cluster Regulation by Achaete Scute-like 2 (Ascl2)
- (2014) Yin Tian et al. JOURNAL OF BIOLOGICAL CHEMISTRY
- DiME: A Scalable Disease Module Identification Algorithm with Application to Glioma Progression
- (2014) Yunpeng Liu et al. PLoS One
- Mir-184 Post-Transcriptionally Regulates SOX7 Expression and Promotes Cell Proliferation in Human Hepatocellular Carcinoma
- (2014) Geng-Gang Wu et al. PLoS One
- Circulating Exosomal microRNAs as Biomarkers of Colon Cancer
- (2014) Hiroko Ogata-Kawata et al. PLoS One
- Down-regulation of miR-21 Induces Differentiation of Chemoresistant Colon Cancer Cells and Enhances Susceptibility to Therapeutic Regimens
- (2014) Yingjie Yu et al. Translational Oncology
- Semi-supervised learning for potential human microRNA-disease associations inference
- (2014) Xing Chen et al. Scientific Reports
- miR-142 regulates the tumorigenicity of human breast cancer stem cells through the canonical WNT signaling pathway
- (2014) Taichi Isobe et al. eLife
- Protein-driven inference of miRNA-disease associations
- (2013) S. Mork et al. BIOINFORMATICS
- Novel human lncRNA–disease association inference based on lncRNA expression profiles
- (2013) Xing Chen et al. BIOINFORMATICS
- Using context-specific effect of miRNAs to identify functional associations between miRNAs and gene signatures
- (2013) Mohammed Alshalalfa et al. BMC BIOINFORMATICS
- 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
- 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
- Gaussian interaction profile kernels for predicting drug–target interaction
- (2011) Twan van Laarhoven et al. BIOINFORMATICS
- 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
- MicroRNAs: Target Recognition and Regulatory Functions
- (2009) David P. Bartel CELL
- Computational analysis of microRNA profiles and their target genes suggests significant involvement in breast cancer antiestrogen resistance
- (2008) Fuxiao Xin et al. BIOINFORMATICS
- 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
- Profiling MicroRNA Expression in Hepatocellular Carcinoma Reveals MicroRNA-224 Up-regulation and Apoptosis Inhibitor-5 as a MicroRNA-224-specific Target
- (2008) Yu Wang 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
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