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10.18632/oncotarget.16433 http://scihub22266oqcxt.onion/10.18632/oncotarget.16433 C5482642!5482642!28415609     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       Oncotarget 2017 ; 8 (22): 36115-26 Nephropedia Template TP {{tp|p=28415609|t=2017. Identification of driver modules in pan-cancer via coordinating coverage and exclusivity |pdf=|usr=}}{{28415609}} gab.com Text Identification of driver modules in pan-cancer via coordinating coverage and exclusivity JO: Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=28415609 #FOAvip It is widely accepted that cancer is driven by accumulated somatic mutations during the lifetime of an individual. Cancer mutations may target relatively small number of cell functional modules. The heterogeneity in different cancer patients makes it difficult to identify driver mutations or functional modules related to cancer. It is biologically desired to be capable of identifying cancer pathway modules through coordination between coverage and exclusivity. There have been a few approaches developed for this purpose, but they all have limitations in practice due to their computational complexity and prediction accuracy. We present a network based approach, CovEx, to predict the specific patient oriented modules by 1) discovering candidate modules for each considered gene, 2) extracting significant candidates by harmonizing coverage and exclusivity and, 3) further selecting the patient oriented modules based on a set cover model. Applying CovEx to pan-cancer datasets spanning 12 cancer types collecting from public database TCGA, it demonstrates significant superiority over the current leading competitors in performance. It is published under GNU GENERAL PUBLIC LICENSE and the source code is available at:https://sourceforge.net/projects/cancer-pathway/files/ Twit Text FOAVip Identification of driver modules in pan-cancer via coordinating coverage and exclusivity ????Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=28415609 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28415609 #FOAvip English Wikipedia <ref>{{Cite pmid|28415609}}</ref> Identification of driver modules in pan-cancer via coordinating coverage and exclusivity #MMPMID28415609 Gao B; Li G; Liu J; Li Y; Huang X Oncotarget 2017[May]; 8 (22): 36115-26 PMID28415609show ga It is widely accepted that cancer is driven by accumulated somatic mutations during the lifetime of an individual. Cancer mutations may target relatively small number of cell functional modules. The heterogeneity in different cancer patients makes it difficult to identify driver mutations or functional modules related to cancer. It is biologically desired to be capable of identifying cancer pathway modules through coordination between coverage and exclusivity. There have been a few approaches developed for this purpose, but they all have limitations in practice due to their computational complexity and prediction accuracy. We present a network based approach, CovEx, to predict the specific patient oriented modules by 1) discovering candidate modules for each considered gene, 2) extracting significant candidates by harmonizing coverage and exclusivity and, 3) further selecting the patient oriented modules based on a set cover model. Applying CovEx to pan-cancer datasets spanning 12 cancer types collecting from public database TCGA, it demonstrates significant superiority over the current leading competitors in performance. It is published under GNU GENERAL PUBLIC LICENSE and the source code is available at:https://sourceforge.net/projects/cancer-pathway/files/ äIdentification of driver modules in pan-cancer via coordinating covera(epmc).pdf DeepDyve Pubget Overpricing