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10.18632/oncotarget.24228 http://scihub22266oqcxt.onion/10.18632/oncotarget.24228 C5834250!5834250!29541392     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       Oncotarget 2018 ; 9 (13): 10995-1008 Nephropedia Template TP {{tp|p=29541392|t=2018. Discovery and validation of a glioblastoma co-expressed gene module |pdf=|usr=}}{{29541392}} gab.com Text Discovery and validation of a glioblastoma co-expressed gene module JO: Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=29541392 #FOAvip Tumors exhibit complex patterns of aberrant gene expression. Using a knowledge-independent, noise-reducing gene co-expression network construction software called KINC, we created multiple RNAseq-based gene co-expression networks relevant to brain and glioblastoma biology. In this report, we describe the discovery and validation of a glioblastoma-specific gene module that contains 22 co-expressed genes. The genes are upregulated in glioblastoma relative to normal brain and lower grade glioma samples; they are also hypo-methylated in glioblastoma relative to lower grade glioma tumors. Among the proneural, neural, mesenchymal, and classical glioblastoma subtypes, these genes are most-highly expressed in the mesenchymal subtype. Furthermore, high expression of these genes is associated with decreased survival across each glioblastoma subtype. These genes are of interest to glioblastoma biology and our gene interaction discovery and validation workflow can be used to discover and validate co-expressed gene modules derived from any co-expression network. Twit Text FOAVip Discovery and validation of a glioblastoma co-expressed gene module ????Oncotarget http://www.kidney.de/pget.php?&tw=1&pmid=29541392 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=29541392 #FOAvip English Wikipedia <ref>{{Cite pmid|29541392}}</ref> Discovery and validation of a glioblastoma co-expressed gene module #MMPMID29541392 Dunwoodie LJ; Poehlman WL; Ficklin SP; Feltus FA Oncotarget 2018[Feb]; 9 (13): 10995-1008 PMID29541392show ga Tumors exhibit complex patterns of aberrant gene expression. Using a knowledge-independent, noise-reducing gene co-expression network construction software called KINC, we created multiple RNAseq-based gene co-expression networks relevant to brain and glioblastoma biology. In this report, we describe the discovery and validation of a glioblastoma-specific gene module that contains 22 co-expressed genes. The genes are upregulated in glioblastoma relative to normal brain and lower grade glioma samples; they are also hypo-methylated in glioblastoma relative to lower grade glioma tumors. Among the proneural, neural, mesenchymal, and classical glioblastoma subtypes, these genes are most-highly expressed in the mesenchymal subtype. Furthermore, high expression of these genes is associated with decreased survival across each glioblastoma subtype. These genes are of interest to glioblastoma biology and our gene interaction discovery and validation workflow can be used to discover and validate co-expressed gene modules derived from any co-expression network. äDiscovery and validation of a glioblastoma co-expressed gene module (epmc).pdf DeepDyve Pubget Overpricing