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10.5808/GI.2015.13.3.86 http://scihub22266oqcxt.onion/10.5808/GI.2015.13.3.86 C4623446!4623446!26523133     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Genomics+Inform 2015 ; 13 (3): 86-9 Nephropedia Template TP {{tp|p=26523133|t=2015. A Database of Gene Expression Profiles of Korean Cancer Genome |pdf=|usr=}}{{26523133}} gab.com Text A Database of Gene Expression Profiles of Korean Cancer Genome JO: Genomics Inform http://www.kidney.de/pget.php?&tw=1&pmid=26523133 #FOAvip Because there are clear molecular differences entailing different treatment effectiveness between Korean and non-Korean cancer patients, identifying distinct molecular characteristics of Korean cancers is profoundly important. Here, we report a web-based data repository, namely Korean Cancer Genome Database (KCGD), for searching gene signatures associated with Korean cancer patients. Currently, a total of 1,403 cancer genomics data were collected, processed and stored in our repository, an ever-growing database. We incorporated most widely used statistical survival analysis methods including the Cox proportional hazard model, log-rank test and Kaplan-Meier plot to provide instant significance estimation for searched molecules. As an initial repository with the aim of Korean-specific marker detection, KCGD would be a promising web application for users without bioinformatics expertise to identify significant factors associated with cancer in Korean. Twit Text FOAVip A Database of Gene Expression Profiles of Korean Cancer Genome ????Genomics Inform http://www.kidney.de/pget.php?&tw=1&pmid=26523133 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26523133 #FOAvip English Wikipedia <ref>{{Cite pmid|26523133}}</ref> A Database of Gene Expression Profiles of Korean Cancer Genome #MMPMID26523133 Kim SK; Chu IS Genomics Inform 2015[Sep]; 13 (3): 86-9 PMID26523133show ga Because there are clear molecular differences entailing different treatment effectiveness between Korean and non-Korean cancer patients, identifying distinct molecular characteristics of Korean cancers is profoundly important. Here, we report a web-based data repository, namely Korean Cancer Genome Database (KCGD), for searching gene signatures associated with Korean cancer patients. Currently, a total of 1,403 cancer genomics data were collected, processed and stored in our repository, an ever-growing database. We incorporated most widely used statistical survival analysis methods including the Cox proportional hazard model, log-rank test and Kaplan-Meier plot to provide instant significance estimation for searched molecules. As an initial repository with the aim of Korean-specific marker detection, KCGD would be a promising web application for users without bioinformatics expertise to identify significant factors associated with cancer in Korean. äA Database of Gene Expression Profiles of Korean Cancer Genome (epmc).pdf DeepDyve Pubget Overpricing