Feature Selection and Partial Least Squares Based Dimension Reduction for Tumor Classification.
Hua-Long BuGuo-Zheng LiXue-Qiang ZengJack Y. YangMary Qu YangPublished in: BIBE (2007)
Keyphrases
- dimension reduction
- partial least squares
- feature selection
- tumor classification
- high dimensionality
- feature space
- feature extraction
- gene expression data
- gene selection
- random projections
- feature set
- variable selection
- text classification
- multi class
- dimensionality reduction
- microarray data
- support vector machine
- knn
- classification accuracy
- support vector
- preprocessing step
- machine learning
- selected features
- gene expression profiles
- high dimensional
- feature subset
- unsupervised learning
- singular value decomposition
- model selection
- preprocessing
- low dimensional
- principal component analysis
- image processing
- feature vectors