CGUFS: A clustering-guided unsupervised feature selection algorithm for gene expression data.
Zhaozhao XuFangyuan YangHong WangJunding SunHengde ZhuShuihua WangYudong ZhangPublished in: J. King Saud Univ. Comput. Inf. Sci. (2023)
Keyphrases
- gene expression data
- feature selection
- feature selection algorithms
- unsupervised learning
- high dimensionality
- clustering gene expression data
- gene expression analysis
- gene expression data analysis
- gene expression profiles
- gene expression
- data sets
- microarray
- analysis of gene expression data
- microarray data
- high dimensional data
- clustering algorithm
- text classification
- clustering method
- dimensionality reduction
- machine learning
- k means
- biclustering algorithms
- high dimensional
- data clustering
- selection algorithm
- multiple clusterings
- feature extraction
- cluster analysis
- data points
- feature set
- feature space
- feature subset selection
- microarray datasets
- cluster ensemble
- cancer classification
- classification accuracy
- synthetic datasets
- knn
- cancer diagnosis
- mutual information
- gene ontology terms
- database