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10.18632/oncotarget.12828 http://scihub22266oqcxt.onion/10.18632/oncotarget.12828 C5356763!5356763 !27784000     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=27784000 &cmd=llinks): Failed to open stream: HTTP request failed! 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Which statistical significance test best detects oncomiRNAs in cancer tissues? An exploratory analysis |pdf=|usr=}}{{27784000 }} gab.com Text Which statistical significance test best detects oncomiRNAs in cancer tissues An exploratory analysis JO: Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=27784000 #FOAvip MicroRNAs(miRNAs) often exert their oncogenic and tumor suppressor functions by suppressing protein-coding genes expressions in cancers and thus have a strong association with cancers' generation, development and metastasis. Through comprehensively understanding differentially expressed miRNAs (oncomiRNA) in tumor tissues, we can elucidate the underlying molecular mechanisms in tumorigenesis and develop novel strategies for cancer diagnosis and treatment. The differential expression of miRNAs can now be analyzed through numerous statistical significance tests based on different principles, which are also available in various R packages. However, the results can be notably different. In this study, we compared miRNAs obtained from 6 common significance tests/R packages (t-test, Limma, DESeq, edgeR, LRT and MARS) with the miRNAs archived in two databases; HMDD 2.0 database, which collects experimentally validated differentially expressed miRNAs, and Infer microRNA-disease association database, which contains the potential disease-associated miRNAs by network forecasting. Finally, we sought the MARS method in DEGseq package more effectively searched out differentially expressed miRNAs than other common methods. Twit Text FOAVip Which statistical significance test best detects oncomiRNAs in cancer tissues An exploratory analysis ????Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=27784000 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27784000 #FOAvip English Wikipedia <ref>{{Cite pmid|27784000 }}</ref> Which statistical significance test best detects oncomiRNAs in cancer tissues? An exploratory analysis #MMPMID27784000 Tang W ; Liao Z ; Zou Q Oncotarget 2016[Dec]; 7 (51 ): 85613-85623 PMID27784000 show ga MicroRNAs(miRNAs) often exert their oncogenic and tumor suppressor functions by suppressing protein-coding genes expressions in cancers and thus have a strong association with cancers' generation, development and metastasis. Through comprehensively understanding differentially expressed miRNAs (oncomiRNA) in tumor tissues, we can elucidate the underlying molecular mechanisms in tumorigenesis and develop novel strategies for cancer diagnosis and treatment. The differential expression of miRNAs can now be analyzed through numerous statistical significance tests based on different principles, which are also available in various R packages. However, the results can be notably different. In this study, we compared miRNAs obtained from 6 common significance tests/R packages (t-test, Limma, DESeq, edgeR, LRT and MARS) with the miRNAs archived in two databases; HMDD 2.0 database, which collects experimentally validated differentially expressed miRNAs, and Infer microRNA-disease association database, which contains the potential disease-associated miRNAs by network forecasting. Finally, we sought the MARS method in DEGseq package more effectively searched out differentially expressed miRNAs than other common methods. |*Models, Statistical [MESH] |*Transcriptome [MESH] |Area Under Curve [MESH] |Biomarkers, Tumor/*genetics [MESH] |Computational Biology/statistics & numerical data [MESH] |Data Interpretation, Statistical [MESH] |Databases, Genetic/statistics & numerical data [MESH] |Gene Expression Profiling/*statistics & numerical data [MESH] |Gene Expression Regulation, Neoplastic [MESH] |Gene Regulatory Networks [MESH] |Humans [MESH] |MicroRNAs/*genetics [MESH] |Neoplasms/*genetics/pathology/therapy [MESH] |Predictive Value of Tests [MESH] |Prognosis [MESH] |ROC Curve [MESH]Which statistical significance test best detects oncomiRNAs in cancer (epmc).pdf DeepDyve Pubget Overpricing