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10.1093/biomet/asv013 http://scihub22266oqcxt.onion/10.1093/biomet/asv013 C4581526!4581526 !26412865     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=26412865 &cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\26412865 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Biometrika 2015 ; 102 (3 ): 533-544 Nephropedia Template TP {{tp|p=26412865 |t=2015. Covariance-based analyses of biological pathways |pdf=|usr=}}{{26412865 }} gab.com Text Covariance-based analyses of biological pathways JO: Biometrika http://www.kidney.de/pget.php?&tw=1&pmid=26412865 #FOAvip The use of high-throughput data to study the changing behavior of biological pathways has focused mainly on examining the changes in the means of pathway genes. In this paper, we propose instead to test for changes in the co-regulated and unregulated variability of pathway genes. We assume that the eigenvalues of previously defined pathways capture biologically relevant quantities, and we develop a test for biologically meaningful changes in the eigenvalues between classes. This test reflects important and often ignored aspects of pathway behavior and provides a useful complement to traditional pathway analyses. Twit Text FOAVip Covariance-based analyses of biological pathways ????Biometrika http://www.kidney.de/pget.php?&tw=1&pmid=26412865 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26412865 #FOAvip English Wikipedia <ref>{{Cite pmid|26412865 }}</ref> Covariance-based analyses of biological pathways #MMPMID26412865 Danaher P ; Paul D ; Wang P Biometrika 2015[Sep]; 102 (3 ): 533-544 PMID26412865 show ga The use of high-throughput data to study the changing behavior of biological pathways has focused mainly on examining the changes in the means of pathway genes. In this paper, we propose instead to test for changes in the co-regulated and unregulated variability of pathway genes. We assume that the eigenvalues of previously defined pathways capture biologically relevant quantities, and we develop a test for biologically meaningful changes in the eigenvalues between classes. This test reflects important and often ignored aspects of pathway behavior and provides a useful complement to traditional pathway analyses. äCovariance-based analyses of biological pathways (epmc).pdf DeepDyve Pubget Overpricing