Rank-based classifiers for extremely high-dimensional gene expression data.
Ludwig LausserFlorian SchmidLyn-Rouven SchirraAdalbert F. X. WilhelmHans A. KestlerPublished in: Adv. Data Anal. Classif. (2018)
Keyphrases
- gene expression data
- high dimensional
- feature selection
- microarray
- gene expression
- high dimensionality
- microarray data
- cancer datasets
- data sets
- high dimensional data
- gene expression analysis
- gene regulatory networks
- gene networks
- decision trees
- microarray gene expression data
- cancer classification
- gene expression datasets
- gene expression data sets
- support vector
- training data
- gene selection
- analysis of gene expression data
- high throughput
- gene expression data analysis
- gene expression profiles
- regulatory networks
- gene expression profiling
- training set
- feature set
- gene expression patterns
- clustering gene expression data
- feature ranking
- low dimensional
- biological information
- nearest neighbor
- data points
- cancer diagnosis
- data analysis
- linear discriminant analysis
- experimental conditions