High-dimensional pseudo-logistic regression and classification with applications to gene expression data.
Chunming ZhangHaoda FuYuan JiangTao YuPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- gene expression data
- logistic regression
- high dimensionality
- high dimensional
- decision trees
- support vector
- logistic regression models
- feature selection
- microarray
- gene expression analysis
- fold cross validation
- microarray data
- gene expression profiles
- gene expression
- cancer classification
- linear support vector machines
- gene expression datasets
- naive bayes
- high dimensional data
- generalized linear models
- dna microarray
- microarray datasets
- gene selection
- linear svm
- analysis of gene expression data
- dimensionality reduction
- data sets
- classification trees
- breast cancer
- loss function
- chi square
- machine learning
- small sample size
- classification accuracy
- feature space
- pattern recognition
- variable selection
- low dimensional
- nearest neighbor
- tissue samples
- feature ranking
- feature vectors
- clustering analysis
- machine learning methods
- class labels
- support vector machine svm
- text classification
- feature set
- principal component analysis