A New Unsupervised Feature Ranking Method for Gene Expression Data Based on Consensus Affinity.
Shaohong ZhangHau-San WongYing ShenDongqing XiePublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2012)
Keyphrases
- gene expression data
- gene expression
- microarray
- microarray data
- gene expression analysis
- data sets
- microarray gene expression data
- gene expression data analysis
- gene regulatory networks
- gene expression datasets
- gene expression profiles
- feature selection
- gene expression profiling
- high dimensional data
- analysis of gene expression data
- semi supervised
- regulatory networks
- unsupervised learning
- high dimensionality
- gene selection
- dna microarray data
- cancer classification
- gene expression data sets
- dna microarray
- tissue samples
- machine learning
- gene networks
- feature vectors
- high dimensional
- cancer diagnosis
- microarray datasets
- feature subset
- feature set
- tumor classification