Dimension Reduction with Gene Expression Data Using Targeted Variable Importance Measurement.
Hui WangMark J. van der LaanPublished in: BMC Bioinform. (2011)
Keyphrases
- dimension reduction
- gene expression data
- high dimensionality
- high dimensional data
- high dimensional
- feature selection
- microarray
- gene expression
- low dimensional
- microarray data
- dimensionality reduction
- principal component analysis
- analysis of gene expression data
- data sets
- gene selection
- feature extraction
- feature space
- gene expression data analysis
- variable selection
- singular value decomposition
- cancer classification
- linear discriminant analysis
- microarray gene expression data
- gene expression profiling
- gene expression analysis
- gene expression datasets
- regulatory networks
- small sample size
- gene regulatory networks
- cluster analysis
- gene expression profiles
- nearest neighbor
- data points
- dna microarray
- preprocessing
- active learning
- neural network
- original data
- image data
- data analysis
- similarity measure
- machine learning