On partial least squares dimension reduction for microarray-based classification: a simulation study.
Danh V. NguyenDavid M. RockePublished in: Comput. Stat. Data Anal. (2004)
Keyphrases
- dimension reduction
- partial least squares
- microarray
- simulation study
- high dimensionality
- gene expression
- high throughput
- gene expression data
- microarray data
- principal component analysis
- microarray analysis
- feature extraction
- high dimensional
- feature selection
- high dimensional data
- low dimensional
- dimensionality reduction
- variable selection
- gene selection
- gene expression profiles
- linear discriminant analysis
- feature space
- singular value decomposition
- cluster analysis
- monte carlo
- unsupervised learning
- classification accuracy
- data sets
- preprocessing