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10.1155/2016/1035945 http://scihub22266oqcxt.onion/10.1155/2016/1035945 C5080476!5080476!27818995     free     free     free Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 213.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Biomed+Res+Int 2016 ; 2016 (ä): ä Nephropedia Template TP {{tp|p=27818995|t=2016. Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests |pdf=|usr=}}{{27818995}} gab.com Text Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests JO: Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=27818995 #FOAvip Liver hepatocellular carcinoma (HCC) remains a leading cause of cancer-related death. Poor understanding of the mechanisms underlying HCC prevents early detection and leads to high mortality. We developed a random forest model that incorporates copy-number variation, DNA methylation, transcription factor, and microRNA binding information as features to predict gene expression in HCC. Our model achieved a highly significant correlation between predicted and measured expression of held-out genes. Furthermore, we identified potential regulators of gene expression in HCC. Many of these regulators have been previously found to be associated with cancer and are differentially expressed in HCC. We also evaluated our predicted target sets for these regulators by making comparison with experimental results. Lastly, we found that the transcription factor E2F6, one of the candidate regulators inferred by our model, is predictive of survival rate in HCC. Results of this study will provide directions for future prospective studies in HCC. Twit Text FOAVip Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests ????Biomed Res Int http://www.kidney.de/pget.php?&tw=1&pmid=27818995 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27818995 #FOAvip English Wikipedia <ref>{{Cite pmid|27818995}}</ref> Modeling Gene Regulation in Liver Hepatocellular Carcinoma with Random Forests #MMPMID27818995 Kazan H Biomed Res Int 2016[]; 2016 (ä): ä PMID27818995show ga Liver hepatocellular carcinoma (HCC) remains a leading cause of cancer-related death. Poor understanding of the mechanisms underlying HCC prevents early detection and leads to high mortality. We developed a random forest model that incorporates copy-number variation, DNA methylation, transcription factor, and microRNA binding information as features to predict gene expression in HCC. Our model achieved a highly significant correlation between predicted and measured expression of held-out genes. Furthermore, we identified potential regulators of gene expression in HCC. Many of these regulators have been previously found to be associated with cancer and are differentially expressed in HCC. We also evaluated our predicted target sets for these regulators by making comparison with experimental results. Lastly, we found that the transcription factor E2F6, one of the candidate regulators inferred by our model, is predictive of survival rate in HCC. Results of this study will provide directions for future prospective studies in HCC. äModeling Gene Regulation in Liver Hepatocellular Carcinoma with Random(epmc).pdf DeepDyve Pubget Overpricing