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- Title
Binary analysis and optimization-based normalization of gene expression data.
- Authors
Shmulevich, Ilya; Zhang, Wei
- Abstract
Most approaches to gene expression analysis use real-valued expression data, produced by high-throughput screening technologies, such as microarrays. Often, some measure of similarity must be computed in order to extract meaningful information from the observed data. The choice of this similarity measure frequently has a profound effect on the results of the analysis, yet no standards exist to guide the researcher.
- Publication
Bioinformatics (Oxford, England), 2002, Vol 18, Issue 4, p555
- ISSN
1367-4803
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/18.4.555