Use of biclustering for missing value imputation in gene expression data.
Kin-On ChengNgai-Fong LawWan-Chi SiuPublished in: Artif. Intell. Res. (2013)
Keyphrases
- gene expression data
- missing values
- high dimensional data
- data imputation
- gene expression
- microarray
- missing data
- microarray data
- data sets
- incomplete data
- high dimensionality
- gene expression data analysis
- gene regulatory networks
- feature selection
- dimensionality reduction
- incomplete data sets
- gene selection
- nearest neighbor
- high dimensional
- cancer classification
- biclustering algorithms
- low dimensional
- gene expression analysis
- data matrix
- gene expression profiles
- microarray data analysis
- gene expression datasets
- analysis of gene expression data
- missing data imputation
- dna microarray
- imputation methods
- regulatory networks
- gene expression data sets
- data analysis
- gene expression profiling
- gene expression patterns
- pattern recognition
- feature extraction
- data mining