Informative Feature Clustering and Selection for Gene Expression Data.
Yuqi YangPengshuai YinZhihang LuoWenwen GuRenjie ChenQingyao WuPublished in: IEEE Access (2019)
Keyphrases
- gene expression data
- gene expression analysis
- clustering gene expression data
- high dimensionality
- gene expression
- microarray
- gene expression profiles
- gene expression data analysis
- high dimensional data
- analysis of gene expression data
- feature selection
- microarray data analysis
- data sets
- microarray data
- yeast cell cycle
- gene regulatory networks
- clustering algorithm
- microarray gene expression data
- simultaneous clustering
- gene expression datasets
- hierarchical clustering
- cancer diagnosis
- regulatory networks
- feature set
- gene selection
- document clustering
- clustering method
- information theoretic
- k means
- gene networks
- dna microarray
- high throughput
- feature vectors
- data clustering
- self organizing maps
- clustering analysis
- biclustering algorithms
- high dimensional
- feature space
- pattern recognition
- data points
- nearest neighbor
- dimensionality reduction
- biological processes
- gene ontology terms
- microarray datasets