Singular Value Decomposition Regression Models for Classification of Tumors from Microarray Experiments.
Debashis GhoshPublished in: Pacific Symposium on Biocomputing (2002)
Keyphrases
- singular value decomposition
- microarray
- regression model
- tissue samples
- gene expression
- high dimensionality
- cancer classification
- dimension reduction
- gene expression profiles
- microarray data analysis
- microarray data
- gene expression data
- gene expression analysis
- microarray analysis
- target variable
- model selection
- microarray datasets
- singular values
- least squares
- dna microarray
- gene selection
- cancer diagnosis
- clustering analysis
- dimensionality reduction
- pattern recognition
- feature selection
- support vector
- feature vectors
- feature space
- text classification
- decision trees
- support vector machine svm
- machine learning
- variable selection
- support vector machine
- unsupervised learning