RKNNMDA: Ranking-based KNN for MiRNA-Disease Association prediction
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[1] Zhu-Hong You,et al. PBHMDA: Path-Based Human Microbe-Disease Association Prediction , 2017, Front. Microbiol..
[2] Zhu-Hong You,et al. A novel approach based on KATZ measure to predict associations of human microbiota with non‐infectious diseases , 2016, Bioinform..
[3] Xing Chen,et al. Long non-coding RNAs and complex diseases: from experimental results to computational models , 2016, Briefings Bioinform..
[4] Xing Chen,et al. HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction , 2016, Oncotarget.
[5] Xing Chen,et al. IRWRLDA: improved random walk with restart for lncRNA-disease association prediction , 2016, Oncotarget.
[6] Yongdong Zhang,et al. Drug-target interaction prediction: databases, web servers and computational models , 2016, Briefings Bioinform..
[7] Xing Chen,et al. NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning , 2016, PLoS Comput. Biol..
[8] Xing Chen,et al. FMLNCSIM: fuzzy measure-based lncRNA functional similarity calculation model , 2016, Oncotarget.
[9] Keith C. C. Chan,et al. Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding , 2016, BMC Bioinformatics.
[10] Zhu-Hong You,et al. ILNCSIM: improved lncRNA functional similarity calculation model , 2016, Oncotarget.
[11] Qionghai Dai,et al. WBSMDA: Within and Between Score for MiRNA-Disease Association prediction , 2016, Scientific Reports.
[12] Xing Chen. miREFRWR: a novel disease-related microRNA-environmental factor interactions prediction method. , 2016, Molecular bioSystems.
[13] Jinfeng Zou,et al. Identification and Construction of Combinatory Cancer Hallmark-Based Gene Signature Sets to Predict Recurrence and Chemotherapy Benefit in Stage II Colorectal Cancer. , 2016, JAMA oncology.
[14] Zhu-Hong You,et al. Detection of Interactions between Proteins through Rotation Forest and Local Phase Quantization Descriptors , 2015, International journal of molecular sciences.
[15] Qionghai Dai,et al. RBMMMDA: predicting multiple types of disease-microRNA associations , 2015, Scientific Reports.
[16] Qionghai Dai,et al. Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity , 2015, Scientific Reports.
[17] Xia Li,et al. Prediction of potential disease-associated microRNAs based on random walk , 2015, Bioinform..
[18] E. Wang,et al. Predictive genomics: a cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data. , 2014, Seminars in cancer biology.
[19] M. Berry. Esophageal cancer: staging system and guidelines for staging and treatment. , 2014, Journal of thoracic disease.
[20] Xing Chen,et al. Semi-supervised learning for potential human microRNA-disease associations inference , 2014, Scientific Reports.
[21] Naoto Tsuchiya,et al. Circulating Exosomal microRNAs as Biomarkers of Colon Cancer , 2014, PloS one.
[22] Jan Gorodkin,et al. Protein-driven inference of miRNA–disease associations , 2013, Bioinform..
[23] Yang Li,et al. HMDD v2.0: a database for experimentally supported human microRNA and disease associations , 2013, Nucleic Acids Res..
[24] Ryan M. Layer,et al. Regulation of several androgen-induced genes through the repression of the miR-99a/let-7c/miR-125b-2 miRNA cluster in prostate cancer cells , 2013, Oncogene.
[25] Xing Chen,et al. Novel human lncRNA-disease association inference based on lncRNA expression profiles , 2013, Bioinform..
[26] Xia Li,et al. Walking the interactome to identify human miRNA-disease associations through the functional link between miRNA targets and disease genes , 2013, BMC Systems Biology.
[27] Mohammed Al-Shalalfa,et al. Using context-specific effect of miRNAs to identify functional associations between miRNAs and gene signatures , 2013, BMC Bioinformatics.
[28] Yufei Huang,et al. Prediction of microRNAs Associated with Human Diseases Based on Weighted k Most Similar Neighbors , 2013, PloS one.
[29] Edwin Wang,et al. Cancer systems biology in the genome sequencing era: part 2, evolutionary dynamics of tumor clonal networks and drug resistance. , 2013, Seminars in cancer biology.
[30] Edwin Wang,et al. Cancer systems biology in the genome sequencing era: part 1, dissecting and modeling of tumor clones and their networks. , 2013, Seminars in cancer biology.
[31] R. Dahiya,et al. microRNA-183 is an oncogene targeting Dkk-3 and SMAD4 in prostate cancer , 2013, British Journal of Cancer.
[32] G. Darling,et al. MicroRNA expression profiling of esophageal cancer before and after induction chemoradiotherapy. , 2012, The Annals of thoracic surgery.
[33] M. Gazouli,et al. Circulating MicroRNA in inflammatory bowel disease. , 2012, Journal of Crohn's & colitis.
[34] Xing Chen,et al. RWRMDA: predicting novel human microRNA-disease associations. , 2012, Molecular bioSystems.
[35] Q. Cui,et al. Prediction of Disease-Related Interactions between MicroRNAs and Environmental Factors Based on a Semi-Supervised Classifier , 2012, PloS one.
[36] Wujian Peng,et al. Reduced Circulating miR-15b Is Correlated with Phosphate Metabolism in Patients with End-Stage Renal Disease on Maintenance Hemodialysis , 2012, Renal failure.
[37] Lixu Yan,et al. [Serum miR-103 as a potential diagnostic biomarker for breast cancer]. , 2012, Nan fang yi ke da xue xue bao = Journal of Southern Medical University.
[38] Wen-Tsung Huang,et al. MicroRNA-21-mediated regulation of Sprouty2 protein expression enhances the cytotoxic effect of 5-fluorouracil and metformin in colon cancer cells. , 2012, International journal of molecular medicine.
[39] F. Sarkar,et al. MicroRNA-21 induces stemness by downregulating transforming growth factor beta receptor 2 (TGFβR2) in colon cancer cells. , 2012, Carcinogenesis.
[40] Elena Marchiori,et al. Gaussian interaction profile kernels for predicting drug-target interaction , 2011, Bioinform..
[41] Yun Xiao,et al. Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA Target–Dysregulated Network: Case Study of Prostate Cancer , 2011, Molecular Cancer Therapeutics.
[42] David I. Watson,et al. Mir-148a Improves Response to Chemotherapy in Sensitive and Resistant Oesophageal Adenocarcinoma and Squamous Cell Carcinoma Cells , 2011, Journal of Gastrointestinal Surgery.
[43] Y. Doki,et al. Overexpression of miR-200c Induces Chemoresistance in Esophageal Cancers Mediated Through Activation of the Akt Signaling Pathway , 2011, Clinical Cancer Research.
[44] Changning Liu,et al. dbDEMC: a database of differentially expressed miRNAs in human cancers , 2010, BMC Genomics.
[45] Dong Wang,et al. Inferring the human microRNA functional similarity and functional network based on microRNA-associated diseases , 2010, Bioinform..
[46] Yadong Wang,et al. Prioritization of disease microRNAs through a human phenome-microRNAome network , 2010, BMC Systems Biology.
[47] A. Schetter,et al. MicroRNA Expression in Squamous Cell Carcinoma and Adenocarcinoma of the Esophagus: Associations with Survival , 2009, Clinical Cancer Research.
[48] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[49] D. Bartel. MicroRNAs: Target Recognition and Regulatory Functions , 2009, Cell.
[50] Yadong Wang,et al. miR2Disease: a manually curated database for microRNA deregulation in human disease , 2008, Nucleic Acids Res..
[51] R. Vyzula,et al. Altered Expression of miR-21, miR-31, miR-143 and miR-145 Is Related to Clinicopathologic Features of Colorectal Cancer , 2008, Oncology.
[52] S. Barik,et al. Ectopic expression of miR-126*, an intronic product of the vascular endothelial EGF-like 7 gene, regulates prostein translation and invasiveness of prostate cancer LNCaP cells , 2008, Journal of Molecular Medicine.
[53] J. Steitz,et al. Switching from Repression to Activation: MicroRNAs Can Up-Regulate Translation , 2007, Science.
[54] T. Tammela,et al. MicroRNA expression profiling in prostate cancer. , 2007, Cancer research.
[55] O. Sheils,et al. Effect of BRAFV600E mutation on transcription and post-transcriptional regulation in a papillary thyroid carcinoma model , 2007, Molecular cancer.
[56] Frank J. Slack,et al. The Role of MicroRNAs in Cancer , 2006, The Yale journal of biology and medicine.
[57] Q. Cui,et al. Principles of microRNA regulation of a human cellular signaling network , 2006, Molecular systems biology.
[58] Thorsten Joachims,et al. Training linear SVMs in linear time , 2006, KDD '06.
[59] Xantha Karp,et al. Encountering MicroRNAs in Cell Fate Signaling , 2005, Science.
[60] E. Miska,et al. How microRNAs control cell division, differentiation and death. , 2005, Current opinion in genetics & development.
[61] P. Sarnow,et al. Modulation of Hepatitis C Virus RNA Abundance by a Liver-Specific MicroRNA , 2005, Science.
[62] Thorsten Joachims,et al. A support vector method for multivariate performance measures , 2005, ICML.
[63] M. Byrom,et al. Antisense inhibition of human miRNAs and indications for an involvement of miRNA in cell growth and apoptosis , 2005, Nucleic acids research.
[64] Peizhang Xu,et al. MicroRNAs and the regulation of cell death. , 2004, Trends in genetics : TIG.
[65] V. Ambros. The functions of animal microRNAs , 2004, Nature.
[66] T. Tuschl,et al. Mechanisms of gene silencing by double-stranded RNA , 2004, Nature.
[67] D. Bartel. MicroRNAs Genomics, Biogenesis, Mechanism, and Function , 2004, Cell.
[68] A. Polednak,et al. Trends in survival for both histologic types of esophageal cancer in U.S. surveillance, epidemiology and end results areas , 2003, International journal of cancer.
[69] B. Stewart,et al. World Cancer Report , 2003 .
[70] V. Ambros. microRNAs Tiny Regulators with Great Potential , 2001, Cell.
[71] A. Jemal,et al. Global cancer statistics , 2011, CA: a cancer journal for clinicians.
[72] Thorsten Joachims,et al. Making large scale SVM learning practical , 1998 .