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10.1093/bioinformatics/btx744 http://scihub22266oqcxt.onion/10.1093/bioinformatics/btx744 C6031019!6031019!29186349     free     free     free Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioinformatics 2018 ; 34 (7): 1226-8 Nephropedia Template TP {{tp|p=29186349|t=2018. GDSCTools for mining pharmacogenomic interactions in cancer |pdf=|usr=}}{{29186349}} gab.com Text GDSCTools for mining pharmacogenomic interactions in cancer JO: Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=29186349 #FOAvip Motivation: Large pharmacogenomic screenings integrate heterogeneous cancer genomic datasets as well as anti-cancer drug responses on thousand human cancer cell lines. Mining this data to identify new therapies for cancer sub-populations would benefit from common data structures, modular computational biology tools and user-friendly interfaces. Results: We have developed GDSCTools: a software aimed at the identification of clinically relevant genomic markers of drug response. The Genomics of Drug Sensitivity in Cancer (GDSC) database (www.cancerRxgene.org) integrates heterogeneous cancer genomic datasets as well as anti-cancer drug responses on a thousand cancer cell lines. Including statistical tools (analysis of variance) and predictive methods (Elastic Net), as well as common data structures, GDSCTools allows users to reproduce published results from GDSC and to implement new analytical methods. In addition, non-GDSC data resources can also be analysed since drug responses and genomic features can be encoded as CSV files. Supplementary information: Supplementary data are available at Bioinformatics online. Twit Text FOAVip GDSCTools for mining pharmacogenomic interactions in cancer ????Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=29186349 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29186349 #FOAvip English Wikipedia <ref>{{Cite pmid|29186349}}</ref> GDSCTools for mining pharmacogenomic interactions in cancer #MMPMID29186349 Cokelaer T; Chen E; Iorio F; Menden MP; Lightfoot H; Saez-Rodriguez J; Garnett MJ Bioinformatics 2018[Apr]; 34 (7): 1226-8 PMID29186349show ga Motivation: Large pharmacogenomic screenings integrate heterogeneous cancer genomic datasets as well as anti-cancer drug responses on thousand human cancer cell lines. Mining this data to identify new therapies for cancer sub-populations would benefit from common data structures, modular computational biology tools and user-friendly interfaces. Results: We have developed GDSCTools: a software aimed at the identification of clinically relevant genomic markers of drug response. The Genomics of Drug Sensitivity in Cancer (GDSC) database (www.cancerRxgene.org) integrates heterogeneous cancer genomic datasets as well as anti-cancer drug responses on a thousand cancer cell lines. Including statistical tools (analysis of variance) and predictive methods (Elastic Net), as well as common data structures, GDSCTools allows users to reproduce published results from GDSC and to implement new analytical methods. In addition, non-GDSC data resources can also be analysed since drug responses and genomic features can be encoded as CSV files. Supplementary information: Supplementary data are available at Bioinformatics online. äGDSCTools for mining pharmacogenomic interactions in cancer (epmc).pdf DeepDyve Pubget Overpricing