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Combining Affymetrix microarray results
Authors:John?R?Stevens,RW?Doerge  author-information"  >  author-information__contact u-icon-before"  >  mailto:doerge@purdue.edu"   title="  doerge@purdue.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) Department of Statistics, Purdue University, 150 N. University Street, West Lafayette, Indiana, 47907-2067, USA;(2) Department of Agronomy, Purdue University, Lilly Hall of Sciences, 915 W. State Street, West Lafayette, Indiana, 47907-2054, USA
Abstract:

Background  

As the use of microarray technology becomes more prevalent it is not unusual to find several laboratories employing the same microarray technology to identify genes related to the same condition in the same species. Although the experimental specifics are similar, typically a different list of statistically significant genes result from each data analysis.
Keywords:
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