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10.1016/j.ymeth.2017.06.017 http://scihub22266oqcxt.onion/10.1016/j.ymeth.2017.06.017 C5603262!5603262!28651964     free     free     free Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 229.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Methods 2017 ; 124 (ä): 89-99 Nephropedia Template TP {{tp|p=28651964|t=2017. Protein Network Construction Using Reverse Phase Protein Array Data |pdf=|usr=}}{{28651964}} gab.com Text Protein Network Construction Using Reverse Phase Protein Array Data JO: Methods http://www.kidney.de/pget.php?&tw=1&pmid=28651964 #FOAvip In this paper, we introduce a novel computational method for constructing protein networks based on reverse phase protein array (RPPA) data to identify complex patterns in protein signaling. The method is applied to phosphoproteomic profiles of basal expression and activation/phosphorylation of 76 key signaling proteins in three breast cancer cell lines (MCF7, LCC1, and LCC9). Temporal RPPA data are acquired at 48h, 96h, and 144h after knocking down four genes in separate experiments. These genes are selected from a previous study as important determinants for breast cancer survival. Interaction networks are constructed by analyzing the expression levels of protein pairs using a multivariate analysis of variance model. A new scoring criterion is introduced to determine relevant protein pairs. Through a network topology based analysis, we search for wiring patterns to identify key proteins that are associated with significant changes in expression levels across various experimental conditions. Twit Text FOAVip Protein Network Construction Using Reverse Phase Protein Array Data ????Methods http://www.kidney.de/pget.php?&tw=1&pmid=28651964 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28651964 #FOAvip English Wikipedia <ref>{{Cite pmid|28651964}}</ref> Protein Network Construction Using Reverse Phase Protein Array Data #MMPMID28651964 Varghese RS; Zuo Y; Zhao Y; Zhang YW; Jablonski SA; Pierobon M; Petricoin EF; Ressom HW; Weiner LM Methods 2017[Jul]; 124 (ä): 89-99 PMID28651964show ga In this paper, we introduce a novel computational method for constructing protein networks based on reverse phase protein array (RPPA) data to identify complex patterns in protein signaling. The method is applied to phosphoproteomic profiles of basal expression and activation/phosphorylation of 76 key signaling proteins in three breast cancer cell lines (MCF7, LCC1, and LCC9). Temporal RPPA data are acquired at 48h, 96h, and 144h after knocking down four genes in separate experiments. These genes are selected from a previous study as important determinants for breast cancer survival. Interaction networks are constructed by analyzing the expression levels of protein pairs using a multivariate analysis of variance model. A new scoring criterion is introduced to determine relevant protein pairs. Through a network topology based analysis, we search for wiring patterns to identify key proteins that are associated with significant changes in expression levels across various experimental conditions. äProtein Network Construction Using Reverse Phase Protein Array Data (epmc).pdf DeepDyve Pubget Overpricing