Group K-SVD for the classification of gene expression data.
Ping HeBaichuan FanXiaohua XuJie DingYali LiangYuan LouZhijun ZhangXincheng ChangPublished in: Comput. Electr. Eng. (2019)
Keyphrases
- gene expression data
- microarray
- gene expression
- gene expression analysis
- high dimensionality
- dna microarray data
- cancer classification
- gene expression profiles
- cancer diagnosis
- microarray data
- dna microarray
- colon cancer
- dictionary learning
- microarray datasets
- feature selection
- gene expression data analysis
- gene expression datasets
- gene expression data sets
- analysis of gene expression data
- gene selection
- gene expression microarray data
- data sets
- pattern recognition
- microarray data analysis
- tumor classification
- gene expression profiling
- machine learning
- high throughput
- high dimensional data
- gene regulatory networks
- regulatory networks
- tissue samples
- gene expression patterns
- sparse coding
- neural network
- microarray gene expression data
- feature extraction
- training set
- high dimensional
- support vector machine
- unsupervised learning
- support vector machine svm
- feature space
- computer vision
- database
- gene networks
- text classification