Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data.
Huiling XiongDapeng ZhangChristopher J. MartyniukVance L. TrudeauXuhua XiaPublished in: BMC Bioinform. (2008)
Keyphrases
- microarray data
- generalized procrustes analysis
- shape analysis
- microarray
- missing data
- convex formulation
- gene expression
- gene selection
- data sets
- cluster analysis
- differentially expressed genes
- gene expression data
- high dimensional
- feature selection
- affine transformation
- microarray data analysis
- cancer classification
- microarray datasets
- microarray technology
- image processing
- high throughput
- potts model
- medical imaging
- text categorization
- low dimensional
- image classification
- pairwise
- similarity measure
- computer vision
- machine learning
- data mining