Missing Value Imputation Framework for Microarray Significant Gene Selection and Class Prediction.
Muhammad Shoaib B. SehgalIqbal GondalLaurence DooleyPublished in: BioDM (2006)
Keyphrases
- microarray
- gene selection
- missing values
- microarray data
- gene expression
- cancer classification
- high throughput
- gene expression data
- missing data
- gene ontology
- gene expression profiles
- dna microarray
- high dimensionality
- cancer diagnosis
- molecular biology
- biologically relevant
- microarray data analysis
- microarray analysis
- ovarian cancer
- microarray datasets
- experimental conditions
- gene expression data sets
- gene expression data analysis
- data imputation
- gene expression datasets
- informative genes
- colon cancer
- pattern recognition
- dna microarray data
- differentially expressed genes
- machine learning
- microarray technology
- gene networks
- incomplete data
- machine learning methods
- feature selection
- selected genes