Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&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
As large scale genomics and proteomics efforts identify an increasingly complex list of biomarkers to identify human disease, populations predictive for that disease, and drug or other therapy responses for treatment, attention is needed in the research and development arena to bring initial discoveries to clinical utility. This article reviews the process of biomarker test verification and analytical validation, utilizing measurement standardization. Two such measurement programs are described in this manuscript: the identification of mutations in human mitochondrial DNA, and the measurement of telomerase activity in cancer. These model programs address the need for a standardized procedure outlining critical steps to assessing whether a biomarker assay should proceed to clinical validation, and to identify whether reference materials development is needed to establish measurement accuracy and sensitivity.
Download full-text PDF |
Source |
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http://dx.doi.org/10.3233/cbm-2005-14-506 | DOI Listing |
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