Partial Least Squares Based Dimension Reduction with Gene Selection for Tumor Classification.
Guo-Zheng LiXue-Qiang ZengJack Y. YangMary Qu YangPublished in: BIBE (2007)
Keyphrases
- partial least squares
- dimension reduction
- tumor classification
- gene selection
- feature selection
- microarray data
- microarray
- gene expression data
- high dimensionality
- high dimensional
- cluster analysis
- principal component analysis
- cancer classification
- gene expression profiles
- feature extraction
- variable selection
- high dimensional data
- linear discriminant analysis
- gene expression
- dna microarray
- singular value decomposition
- support vector machine svm
- dimensionality reduction
- random projections
- unsupervised learning
- low dimensional
- microarray datasets
- feature space
- multi step
- discriminant analysis
- preprocessing step
- feature vectors
- data points
- support vector machine
- preprocessing
- feature set
- text classification
- selected features
- decision trees
- machine learning