Use my Search Websuite to scan PubMed, PMCentral, Journal Hosts and Journal Archives, FullText. Kick-your-searchterm to multiple Engines kick-your-query now !>

A dictionary by aggregated review articles of nephrology, medicine and the life sciences Your one-stop-run pathway from word to the immediate pdf of peer-reviewed on-topic knowledge.

10.1186/1752-0509-9-S6-S6 http://scihub22266oqcxt.onion/10.1186/1752-0509-9-S6-S6 C4674863!4674863!26679516     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       BMC+Syst+Biol 2015 ; 9 (Suppl 6): S6 Nephropedia Template TP {{tp|p=26679516|t=2015. A model for gene deregulation detection using expression data |pdf=|usr=}}{{26679516}} gab.com Text A model for gene deregulation detection using expression data JO: BMC Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=26679516 #FOAvip In tumoral cells, gene regulation mechanisms are severely altered. Genes that do not react normally to their regulators' activity can provide explanations for the tumoral behavior, and be characteristic of cancer subtypes. We thus propose a statistical methodology to identify the misregulated genes given a reference network and gene expression data.Our model is based on a regulatory process in which all genes are allowed to be deregulated. We derive an EM algorithm where the hidden variables correspond to the status (under/over/normally expressed) of the genes and where the E-step is solved thanks to a message passing algorithm. Our procedure provides posterior probabilities of deregulation in a given sample for each gene. We assess the performance of our method by numerical experiments on simulations and on a bladder cancer data set. Twit Text FOAVip A model for gene deregulation detection using expression data ????BMC Syst Biol http://www.kidney.de/pget.php?&tw=1&pmid=26679516 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26679516 #FOAvip English Wikipedia <ref>{{Cite pmid|26679516}}</ref> A model for gene deregulation detection using expression data #MMPMID26679516 Picchetti T; Chiquet J; Elati M; Neuvial P; Nicolle R; Birmelé E BMC Syst Biol 2015[]; 9 (Suppl 6): S6 PMID26679516show ga In tumoral cells, gene regulation mechanisms are severely altered. Genes that do not react normally to their regulators' activity can provide explanations for the tumoral behavior, and be characteristic of cancer subtypes. We thus propose a statistical methodology to identify the misregulated genes given a reference network and gene expression data.Our model is based on a regulatory process in which all genes are allowed to be deregulated. We derive an EM algorithm where the hidden variables correspond to the status (under/over/normally expressed) of the genes and where the E-step is solved thanks to a message passing algorithm. Our procedure provides posterior probabilities of deregulation in a given sample for each gene. We assess the performance of our method by numerical experiments on simulations and on a bladder cancer data set. äA model for gene deregulation detection using expression data (epmc).pdf DeepDyve Pubget Overpricing