Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data.
Xuesong WangJian LiuYuhu ChengAiping LiuEnhong ChenPublished in: IEEE Trans. Knowl. Data Eng. (2019)
Keyphrases
- gene expression data
- tumor classification
- cancer diagnosis
- principal component analysis
- tissue samples
- microarray
- gene expression
- high dimensional
- microarray data
- data sets
- high dimensionality
- gene selection
- gene regulatory networks
- dimensionality reduction
- feature space
- high dimensional data
- feature selection
- gene expression analysis
- face recognition
- analysis of gene expression data
- gene expression data analysis
- gene expression datasets
- gene expression profiles
- cancer classification
- gene expression profiling
- breast cancer
- gene expression data sets
- microarray gene expression data
- gene expression patterns
- feature extraction
- dna microarray
- gene networks
- biclustering algorithms
- biological processes
- gene ontology
- clustering gene expression data
- negative matrix factorization
- data mining