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10.1152/physiolgenomics.00120.2016 http://scihub22266oqcxt.onion/10.1152/physiolgenomics.00120.2016 C5374454!5374454!28039431     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 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 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 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Physiol+Genomics 2017 ; 49 (3): 151-9 Nephropedia Template TP {{tp|p=28039431|t=2017. Data integration in physiology using Bayes? rule and minimum Bayes? factors: deubiquitylating enzymes in the renal collecting duct |pdf=|usr=}}{{28039431}} gab.com Text Data integration in physiology using Bayes rule and minimum Bayes factors: deubiquitylating enzymes in the renal collecting duct JO: Physiol Genomics http://www.kidney.de/pget.php?&tw=1&pmid=28039431 #FOAvip A major challenge in physiology is to exploit the many large-scale data sets available from ?-omic? studies to seek answers to key physiological questions. In previous studies, Bayes? theorem has been used for this purpose. This approach requires a means to map continuously distributed experimental data to probabilities (likelihood values) to derive posterior probabilities from the combination of prior probabilities and new data. Here, we introduce the use of minimum Bayes? factors for this purpose and illustrate the approach by addressing a physiological question, ?Which deubiquitylating enzymes (DUBs) encoded by mammalian genomes are most likely to regulate plasma membrane transport processes in renal cortical collecting duct principal cells?? To do this, we have created a comprehensive online database of 110 DUBs present in the mammalian genome (https://hpcwebapps.cit.nih.gov/ESBL/Database/DUBs/). We used Bayes? theorem to integrate available information from large-scale data sets derived from proteomic and transcriptomic studies of renal collecting duct cells to rank the 110 known DUBs with regard to likelihood of interacting with and regulating transport processes. The top-ranked DUBs were OTUB1, USP14, PSMD7, PSMD14, USP7, USP9X, OTUD4, USP10, and UCHL5. Among these USP7, USP9X, OTUD4, and USP10 are known to be involved in endosomal trafficking and have potential roles in endosomal recycling of plasma membrane proteins in the mammalian cortical collecting duct. Twit Text FOAVip Data integration in physiology using Bayes rule and minimum Bayes factors: deubiquitylating enzymes in the renal collecting duct ????Physiol Genomics http://www.kidney.de/pget.php?&tw=1&pmid=28039431 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28039431 #FOAvip English Wikipedia <ref>{{Cite pmid|28039431}}</ref> Data integration in physiology using Bayes? rule and minimum Bayes? factors: deubiquitylating enzymes in the renal collecting duct #MMPMID28039431 Xue Z; Chen JX; Zhao Y; Medvar B; Knepper MA Physiol Genomics 2017[Mar]; 49 (3): 151-9 PMID28039431show ga A major challenge in physiology is to exploit the many large-scale data sets available from ?-omic? studies to seek answers to key physiological questions. In previous studies, Bayes? theorem has been used for this purpose. This approach requires a means to map continuously distributed experimental data to probabilities (likelihood values) to derive posterior probabilities from the combination of prior probabilities and new data. Here, we introduce the use of minimum Bayes? factors for this purpose and illustrate the approach by addressing a physiological question, ?Which deubiquitylating enzymes (DUBs) encoded by mammalian genomes are most likely to regulate plasma membrane transport processes in renal cortical collecting duct principal cells?? To do this, we have created a comprehensive online database of 110 DUBs present in the mammalian genome (https://hpcwebapps.cit.nih.gov/ESBL/Database/DUBs/). We used Bayes? theorem to integrate available information from large-scale data sets derived from proteomic and transcriptomic studies of renal collecting duct cells to rank the 110 known DUBs with regard to likelihood of interacting with and regulating transport processes. The top-ranked DUBs were OTUB1, USP14, PSMD7, PSMD14, USP7, USP9X, OTUD4, USP10, and UCHL5. Among these USP7, USP9X, OTUD4, and USP10 are known to be involved in endosomal trafficking and have potential roles in endosomal recycling of plasma membrane proteins in the mammalian cortical collecting duct. äData integration in physiology using Bayes? rule and minimum Bayes? fa(epmc).pdf DeepDyve Pubget Overpricing