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10.1038/srep17658 http://scihub22266oqcxt.onion/10.1038/srep17658 C4668371!4668371 !26631976     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 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 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 247.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 247.2 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\26631976 .jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117       Sci+Rep 2015 ; 5 (ä): 17658 Nephropedia Template TP {{tp|p=26631976 |t=2015. A network medicine approach to quantify distance between hereditary disease modules on the interactome |pdf=|usr=}}{{26631976 }} gab.com Text A network medicine approach to quantify distance between hereditary disease modules on the interactome JO: Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26631976 #FOAvip We introduce a MeSH-based method that accurately quantifies similarity between heritable diseases at molecular level. This method effectively brings together the existing information about diseases that is scattered across the vast corpus of biomedical literature. We prove that sets of MeSH terms provide a highly descriptive representation of heritable disease and that the structure of MeSH provides a natural way of combining individual MeSH vocabularies. We show that our measure can be used effectively in the prediction of candidate disease genes. We developed a web application to query more than 28.5 million relationships between 7,574 hereditary diseases (96% of OMIM) based on our similarity measure. Twit Text FOAVip A network medicine approach to quantify distance between hereditary disease modules on the interactome ????Sci Rep http://www.kidney.de/pget.php?&tw=1&pmid=26631976 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=26631976 #FOAvip English Wikipedia <ref>{{Cite pmid|26631976 }}</ref> A network medicine approach to quantify distance between hereditary disease modules on the interactome #MMPMID26631976 Caniza H ; Romero AE ; Paccanaro A Sci Rep 2015[Dec]; 5 (ä): 17658 PMID26631976 show ga We introduce a MeSH-based method that accurately quantifies similarity between heritable diseases at molecular level. This method effectively brings together the existing information about diseases that is scattered across the vast corpus of biomedical literature. We prove that sets of MeSH terms provide a highly descriptive representation of heritable disease and that the structure of MeSH provides a natural way of combining individual MeSH vocabularies. We show that our measure can be used effectively in the prediction of candidate disease genes. We developed a web application to query more than 28.5 million relationships between 7,574 hereditary diseases (96% of OMIM) based on our similarity measure. |*Genetic Diseases, Inborn/genetics [MESH] |*Medical Subject Headings [MESH] |Data Mining/methods [MESH] |Genes [MESH] |Humans [MESH]A network medicine approach to quantify distance between hereditary di(epmc).pdf DeepDyve Pubget Overpricing