Feature selection of gene expression data for Cancer classification using double RBF-kernels.
Shenghui LiuChunrui XuYusen ZhangJiaguo LiuBin YuXiaoping LiuMatthias DehmerPublished in: BMC Bioinform. (2018)
Keyphrases
- cancer classification
- gene expression data
- feature selection
- support vector
- microarray
- gene selection
- microarray data
- cancer diagnosis
- radial basis function
- gene expression
- gene expression profiling
- high dimensionality
- microarray gene expression data
- gene expression datasets
- feature space
- support vector machine
- colon cancer
- gene expression profiles
- data sets
- gene regulatory networks
- neural network
- cancer datasets
- support vector machine svm
- gene expression data sets
- high dimensional
- gene expression analysis
- dna microarray
- microarray datasets
- analysis of gene expression
- text classification
- informative genes
- feature set
- regulatory networks
- random forest
- high dimensional data
- clustering analysis
- molecular biology
- gene expression patterns
- classification accuracy
- feature vectors
- pattern recognition
- machine learning