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A robust two-way semi-linear model for normalization of cDNA microarray data
Authors:Deli?Wang  author-information"  >  author-information__contact u-icon-before"  >  mailto:deli.wang@ccc.uab.edu"   title="  deli.wang@ccc.uab.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Jian?Huang  author-information"  >  author-information__contact u-icon-before"  >  mailto:jian@stat.uiowa.edu"   title="  jian@stat.uiowa.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Hehuang?Xie,Liliana?Manzella,Marcelo?Bento?Soares
Affiliation:(1) Biostatistics and Bioinformatics Unit, Comprehensive Cancer Center, the University of Alabama at Birmingham, Birmingham, AL 35294, USA;(2) Department of Statistics and Actuarial Science, and Program in Public Health Genetics, the University of Iowa, Iowa City, IA 52242, USA;(3) Department of Pediatrics, the University of Iowa, Iowa City, IA 52242, USA;(4) Departments of Biochemistry, Orthopaedics, Physiology and Biophysics, the University of Iowa, Iowa City, IA 52242, USA
Abstract:

Background  

Normalization is a basic step in microarray data analysis. A proper normalization procedure ensures that the intensity ratios provide meaningful measures of relative expression values.
Keywords:
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