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10.1073/pnas.1601591113 http://scihub22266oqcxt.onion/10.1073/pnas.1601591113 C4868421!4868421!27118839     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 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 (19): 5394-9 Nephropedia Template TP {{tp|p=27118839|t=2016. Big data visualization identifies the multidimensional molecular landscape of human gliomas |pdf=|usr=}}{{27118839}} gab.com Text Big data visualization identifies the multidimensional molecular landscape of human gliomas JO: Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=27118839 #FOAvip We demonstrate that computational visualization of large-scale molecular and clinical datasets can delineate molecularly defined groups of highly similar patients that are well separated from other subgroups. We show that our approach is applicable to multiple data types (sequence, expression, DNA methylation), and that it provides the ability to discover clusters of tumors with targetable lesions. Our methods are generally applicable to all diseases and provide an intuitive means for physicians and bench scientists to work directly with ?big? biomedical data. Twit Text FOAVip Big data visualization identifies the multidimensional molecular landscape of human gliomas ????Proc Natl Acad Sci U S A http://www.kidney.de/pget.php?&tw=1&pmid=27118839 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=27118839 #FOAvip English Wikipedia <ref>{{Cite pmid|27118839}}</ref> Big data visualization identifies the multidimensional molecular landscape of human gliomas #MMPMID27118839 Bolouri H; Zhao LP; Holland EC Proc Natl Acad Sci U S A 2016[May]; 113 (19): 5394-9 PMID27118839show ga We demonstrate that computational visualization of large-scale molecular and clinical datasets can delineate molecularly defined groups of highly similar patients that are well separated from other subgroups. We show that our approach is applicable to multiple data types (sequence, expression, DNA methylation), and that it provides the ability to discover clusters of tumors with targetable lesions. Our methods are generally applicable to all diseases and provide an intuitive means for physicians and bench scientists to work directly with ?big? biomedical data. äBig data visualization identifies the multidimensional molecular lands(epmc).pdf DeepDyve Pubget Overpricing