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...

Descripción completa

Detalles Bibliográficos
Autores principales: Bartenhagen, Christoph, Klein, Hans-Ulrich, Ruckert, Christian, Jiang, Xiaoyi, Dugas, Martin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research Article
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

Internet

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

Ejemplares similares