Projecting partial least square and principle component regression across microarray studies.
Chi-Cheng HuangHeng-Hui LienEric Y. ChuangShih-Hsin TuChing-Shui HuangLiang-Chuan LaiPublished in: BIBM Workshops (2010)
Keyphrases
- microarray
- partial least squares
- gene expression
- high throughput
- microarray analysis
- microarray data
- gene expression data
- dimension reduction
- discriminant analysis
- gene ontology
- high dimensionality
- gene expression profiling
- experimental conditions
- gene selection
- cancer classification
- gene expression profiles
- gene expression analysis
- gene networks
- microarray data analysis
- meta analysis
- principal component analysis
- data sets
- neural network
- microarray images
- feature selection
- microarray datasets
- data mining
- computer vision
- genome wide
- ls svm
- clustering algorithm
- feature extraction
- feature space
- high dimensional