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10.1093/nar/gkw166 http://scihub22266oqcxt.onion/10.1093/nar/gkw166 C4889937!4889937 !26975659     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 243.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26975659 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Nucleic+Acids+Res 2016 ; 44 (10 ): e100 Nephropedia Template TP {{tp|p=26975659 |t=2016. NetDecoder: a network biology platform that decodes context-specific biological networks and gene activities |pdf=|usr=}}{{26975659 }} gab.com Text NetDecoder: a network biology platform that decodes context-specific biological networks and gene activities JO: Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=26975659 #FOAvip The sequential chain of interactions altering the binary state of a biomolecule represents the 'information flow' within a cellular network that determines phenotypic properties. Given the lack of computational tools to dissect context-dependent networks and gene activities, we developed NetDecoder, a network biology platform that models context-dependent information flows using pairwise phenotypic comparative analyses of protein-protein interactions. Using breast cancer, dyslipidemia and Alzheimer's disease as case studies, we demonstrate NetDecoder dissects subnetworks to identify key players significantly impacting cell behaviour specific to a given disease context. We further show genes residing in disease-specific subnetworks are enriched in disease-related signalling pathways and information flow profiles, which drive the resulting disease phenotypes. We also devise a novel scoring scheme to quantify key genes-network routers, which influence many genes, key targets, which are influenced by many genes, and high impact genes, which experience a significant change in regulation. We show the robustness of our results against parameter changes. Our network biology platform includes freely available source code (http://www.NetDecoder.org) for researchers to explore genome-wide context-dependent information flow profiles and key genes, given a set of genes of particular interest and transcriptome data. More importantly, NetDecoder will enable researchers to uncover context-dependent drug targets. Twit Text FOAVip NetDecoder: a network biology platform that decodes context-specific biological networks and gene activities ????Nucleic Acids Res http://www.kidney.de/pget.php?&tw=1&pmid=26975659 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26975659 #FOAvip English Wikipedia <ref>{{Cite pmid|26975659 }}</ref> NetDecoder: a network biology platform that decodes context-specific biological networks and gene activities #MMPMID26975659 da Rocha EL ; Ung CY ; McGehee CD ; Correia C ; Li H Nucleic Acids Res 2016[Jun]; 44 (10 ): e100 PMID26975659 show ga The sequential chain of interactions altering the binary state of a biomolecule represents the 'information flow' within a cellular network that determines phenotypic properties. Given the lack of computational tools to dissect context-dependent networks and gene activities, we developed NetDecoder, a network biology platform that models context-dependent information flows using pairwise phenotypic comparative analyses of protein-protein interactions. Using breast cancer, dyslipidemia and Alzheimer's disease as case studies, we demonstrate NetDecoder dissects subnetworks to identify key players significantly impacting cell behaviour specific to a given disease context. We further show genes residing in disease-specific subnetworks are enriched in disease-related signalling pathways and information flow profiles, which drive the resulting disease phenotypes. We also devise a novel scoring scheme to quantify key genes-network routers, which influence many genes, key targets, which are influenced by many genes, and high impact genes, which experience a significant change in regulation. We show the robustness of our results against parameter changes. Our network biology platform includes freely available source code (http://www.NetDecoder.org) for researchers to explore genome-wide context-dependent information flow profiles and key genes, given a set of genes of particular interest and transcriptome data. More importantly, NetDecoder will enable researchers to uncover context-dependent drug targets. |*Protein Interaction Maps [MESH] |*Software [MESH] |*Transcriptome [MESH] |Algorithms [MESH] |Alzheimer Disease/genetics/metabolism [MESH] |Breast Neoplasms/genetics/metabolism [MESH] |Computational Biology/*methods [MESH] |Databases, Factual [MESH] |Dyslipidemias/genetics/metabolism [MESH] |Female [MESH] |Gene Regulatory Networks [MESH] |Humans [MESH]NetDecoder: a network biology platform that decodes context-specific b(epmc).pdf DeepDyve Pubget Overpricing