Penalized Cox regression analysis in the high-dimensional and low-sample size settings, with applications to microarray gene expression data.
Jiang GuiHongzhe LiPublished in: Bioinform. (2005)
Keyphrases
- regression analysis
- sample size
- microarray gene expression data
- small sample size
- model selection
- high dimensional
- microarray data
- regression model
- gene expression data
- statistical tests
- variable selection
- factor analysis
- cross validation
- maximum likelihood
- high dimensionality
- gene regulatory networks
- least squares
- feature selection
- microarray
- upper bound
- microarray datasets
- dimensionality reduction
- gene expression
- worst case
- cancer classification
- hyperparameters
- nearest neighbor
- feature space
- structure learning
- low dimensional
- parameter estimation
- high dimensional data
- data sets
- cluster analysis
- gene selection
- dependent variables
- decision trees
- machine learning