Hybrid Adaboost based on Genetic Algorithm for Gene Expression Data Classification.
Yaqiong MengHuijuan LuKe YanMinchao YePublished in: ChineseCSCW (2017)
Keyphrases
- gene expression data
- feature selection
- gene expression
- microarray
- high dimensionality
- cancer classification
- gene expression profiles
- gene expression analysis
- dna microarray data
- support vector
- gene expression datasets
- gene selection
- microarray datasets
- tumor classification
- dna microarray
- cancer diagnosis
- colon cancer
- pattern recognition
- decision trees
- gene expression data analysis
- microarray data
- microarray gene expression data
- data sets
- gene expression data sets
- analysis of gene expression data
- tissue samples
- gene expression profiling
- regulatory networks
- microarray data analysis
- gene expression microarray data
- gene regulatory networks
- high throughput
- machine learning methods
- machine learning
- classification accuracy
- support vector machine
- feature extraction
- training data
- multi class
- support vector machine svm
- high dimensional data
- benchmark datasets
- clustering analysis
- gene expression patterns
- face recognition
- simultaneous clustering
- learning algorithm
- data mining
- neural network