Regularized Sparse Modelling for Microarray Missing Value Estimation.
Aiguo WangJing YangNing AnPublished in: IEEE Access (2021)
Keyphrases
- microarray
- missing values
- gene expression
- high throughput
- gene expression data
- microarray data
- gene ontology
- high dimensionality
- experimental conditions
- missing data
- gene networks
- gene expression profiling
- high dimensional data
- microarray data analysis
- gene expression profiles
- incomplete data
- gene selection
- gene expression analysis
- high dimensional
- microarray datasets
- gene expression data sets
- microarray analysis
- molecular biology
- data imputation
- incomplete data sets
- cancer classification
- dna microarray
- biological data
- machine learning
- gene sets
- differentially expressed genes
- image processing
- microarray images
- sparse representation
- low dimensional
- dimensionality reduction