Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data

BACKGROUND: Visualization of DNA microarray data in two or three dimensional spaces is an important exploratory analysis step in order to detect quality issues or to generate new hypotheses. Principal Component Analysis (PCA) is a widely used linear method to define the mapping between the high-dime...

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Hlavní autoři: Bartenhagen, Christoph, Klein, Hans-Ulrich, Ruckert, Christian, Jiang, Xiaoyi, Dugas, Martin
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2010
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Research Article
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2998530/
https://ncbi.nlm.nih.gov/pubmed/21087509
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-567
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