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10.1073/pnas.1604351113 http://scihub22266oqcxt.onion/10.1073/pnas.1604351113 C4855614!4855614!27078110     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 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 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 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 263.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Proc+Natl+Acad+Sci+U+S+A 2016 ; 113 (17): E2393-402 Nephropedia Template TP {{tp|p=27078110|t=2016. Immuno-Navigator, a batch-corrected coexpression database, reveals cell type-specific gene networks in the immune system |pdf=|usr=}}{{27078110}} gab.com Text Immuno-Navigator, a batch-corrected coexpression database, reveals cell type-specific gene networks in the immune system JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=27078110 #FOAvip Correlation of expression between genes can offer useful hints regarding their function or underlying regulatory mechanism. Today, large amounts of expression data are publicly available, allowing researchers to estimate expression correlation over thousands of samples. However, extracting information from correlation data is not straightforward, because underlying expression data are generated by different laboratories working on different cell types and under different conditions. Here we present Immuno-Navigator, a database for correlation of expression in cells of the immune system, which addresses these issues. We present examples of ways our database can be used for generating hypotheses for further experimental analysis. We demonstrate how it recapitulates known facts in immunology and successfully predicts key regulators in naturally occurring regulatory T cells. Twit Text FOAVip Immuno-Navigator, a batch-corrected coexpression database, reveals cell type-specific gene networks in the immune system ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=27078110 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27078110 #FOAvip English Wikipedia <ref>{{Cite pmid|27078110}}</ref> Immuno-Navigator, a batch-corrected coexpression database, reveals cell type-specific gene networks in the immune system #MMPMID27078110 Vandenbon A; Dinh VH; Mikami N; Kitagawa Y; Teraguchi S; Ohkura N; Sakaguchi S Proc Natl Acad Sci U S A 2016[Apr]; 113 (17): E2393-402 PMID27078110show ga Correlation of expression between genes can offer useful hints regarding their function or underlying regulatory mechanism. Today, large amounts of expression data are publicly available, allowing researchers to estimate expression correlation over thousands of samples. However, extracting information from correlation data is not straightforward, because underlying expression data are generated by different laboratories working on different cell types and under different conditions. Here we present Immuno-Navigator, a database for correlation of expression in cells of the immune system, which addresses these issues. We present examples of ways our database can be used for generating hypotheses for further experimental analysis. We demonstrate how it recapitulates known facts in immunology and successfully predicts key regulators in naturally occurring regulatory T cells. äImmuno-Navigator, a batch-corrected coexpression database, reveals cel(epmc).pdf DeepDyve Pubget Overpricing