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10.1038/sdata.2017.29 http://scihub22266oqcxt.onion/10.1038/sdata.2017.29 C5349249!5349249 !28291243     free     free     free Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\28291243 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Data 2017 ; 4 (ä): 170029 Nephropedia Template TP {{tp|p=28291243 |t=2017. A standard database for drug repositioning |pdf=|usr=}}{{28291243 }} gab.com Text A standard database for drug repositioning JO: Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=28291243 #FOAvip Drug repositioning, the process of discovering, validating, and marketing previously approved drugs for new indications, is of growing interest to academia and industry due to reduced time and costs associated with repositioned drugs. Computational methods for repositioning are appealing because they putatively nominate the most promising candidate drugs for a given indication. Comparing the wide array of computational repositioning methods, however, is a challenge due to inconsistencies in method validation in the field. Furthermore, a common simplifying assumption, that all novel predictions are false, is intellectually unsatisfying and hinders reproducibility. We address this assumption by providing a gold standard database, repoDB, that consists of both true positives (approved drugs), and true negatives (failed drugs). We have made the full database and all code used to prepare it publicly available, and have developed a web application that allows users to browse subsets of the data (http://apps.chiragjpgroup.org/repoDB/). Twit Text FOAVip A standard database for drug repositioning ????Sci Data http://www.kidney.de/pget.php?&tw=1&pmid=28291243 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28291243 #FOAvip English Wikipedia <ref>{{Cite pmid|28291243 }}</ref> A standard database for drug repositioning #MMPMID28291243 Brown AS ; Patel CJ Sci Data 2017[Mar]; 4 (ä): 170029 PMID28291243 show ga Drug repositioning, the process of discovering, validating, and marketing previously approved drugs for new indications, is of growing interest to academia and industry due to reduced time and costs associated with repositioned drugs. Computational methods for repositioning are appealing because they putatively nominate the most promising candidate drugs for a given indication. Comparing the wide array of computational repositioning methods, however, is a challenge due to inconsistencies in method validation in the field. Furthermore, a common simplifying assumption, that all novel predictions are false, is intellectually unsatisfying and hinders reproducibility. We address this assumption by providing a gold standard database, repoDB, that consists of both true positives (approved drugs), and true negatives (failed drugs). We have made the full database and all code used to prepare it publicly available, and have developed a web application that allows users to browse subsets of the data (http://apps.chiragjpgroup.org/repoDB/). |*Databases, Factual [MESH] |*Drug Repositioning [MESH]A standard database for drug repositioning (epmc).pdf DeepDyve Pubget Overpricing