Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Genomics has significantly advanced our knowledge of the biology of brain tumors, and refined our classification over the past 10 years. These advances have relied on the unbiased analysis of large cohorts of brain tumors, where they are clustered in an unbiased manner prior to ascribing clinical and biological features. Indeed, this has resulted in the identification of several layers of heterogeneity not previously appreciated by morphology alone. As such, the classification of unknown samples into known biological subgroups can be performed robustly using either gene expression or DNA methylation profiling.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1007/978-1-4939-8805-1_4 | DOI Listing |
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