Extreme Learning Machines with Regularization for the Classification of Gene Expression Data.
Dániel T. VárkonyiKrisztian BuzaPublished in: ITAT (2019)
Keyphrases
- gene expression data
- extreme learning machines
- microarray
- high dimensionality
- cancer classification
- gene expression
- gene expression analysis
- dna microarray data
- gene expression profiles
- feature selection
- dna microarray
- classification accuracy
- tumor classification
- microarray datasets
- gene selection
- cancer diagnosis
- gene expression data analysis
- gene expression profiling
- gene regulatory networks
- colon cancer
- data sets
- analysis of gene expression data
- high dimensional
- feature vectors
- tissue samples
- cancer datasets
- pattern recognition
- feature extraction
- microarray data
- gene expression microarray data
- microarray gene expression data
- gene expression data sets
- unsupervised learning
- gene expression datasets
- microarray data analysis
- decision trees
- high dimensional data
- clustering gene expression data
- gene expression patterns
- gene networks
- experimental conditions
- molecular biology
- support vector machine
- face recognition
- machine learning