Bidirectional compressive sensing for classification of gene expression data.
Xiaohua XuBaichuan FanPing HeYali LiangJie DingYuan LouZhijun ZhangXincheng ChangPublished in: Concurr. Comput. Pract. Exp. (2021)
Keyphrases
- gene expression data
- compressive sensing
- microarray
- high dimensionality
- gene expression
- gene expression analysis
- cancer classification
- gene expression profiles
- dna microarray data
- feature selection
- microarray data
- cancer diagnosis
- dna microarray
- gene selection
- colon cancer
- microarray datasets
- analysis of gene expression data
- gene expression datasets
- tumor classification
- pattern recognition
- support vector machine
- random projections
- data sets
- gene expression data sets
- high dimensional data
- supervised learning
- support vector
- decision trees
- text classification
- high dimensional
- training set
- sparse representation
- tissue samples
- image representation
- feature vectors
- feature space
- compressive sampling
- singular value decomposition
- support vector machine svm
- feature set
- object recognition
- image processing
- learning algorithm
- machine learning