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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...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2998530/ https://www.ncbi.nlm.nih.gov/pubmed/21087509 http://dx.doi.org/10.1186/1471-2105-11-567 |