Pre-processing of microarray gene expression data for classification using adaptive feature selection and imputation of non-ignorable missing values.
R. Devi PriyaR. SivarajPublished in: Int. J. Data Min. Bioinform. (2016)
Keyphrases
- missing values
- data pre processing
- feature selection
- missing data
- feature ranking
- preprocessing
- microarray gene expression data
- data imputation
- multiple imputation
- incomplete data
- feature extraction
- microarray datasets
- cancer classification
- classification accuracy
- imputation methods
- missing data imputation
- gene expression data
- multivariate temporal data
- high dimensional data
- high dimensionality
- microarray data
- classification models
- feature set
- machine learning
- support vector
- missing attribute values
- feature space
- data preparation
- text classification
- support vector machine
- dna microarray
- microarray
- text categorization
- pattern recognition
- feature vectors
- feature selection algorithms
- supervised learning
- random forest
- dimensionality reduction
- probabilistic model
- k nearest neighbour
- neural network
- gene regulatory networks
- gene selection
- gene expression
- statistical databases