Semi-supervised Self-organizing Feature Map for Gene Expression Data Classification.
Moumita RoyAnwesha LawSusmita GhoshPublished in: PReMI (2013)
Keyphrases
- gene expression data
- semi supervised
- microarray
- gene expression
- high dimensionality
- cancer classification
- feature selection
- gene expression profiles
- dna microarray data
- cancer diagnosis
- gene expression analysis
- colon cancer
- microarray data
- gene expression datasets
- supervised learning
- dna microarray
- analysis of gene expression data
- gene expression data sets
- microarray data analysis
- gene expression profiling
- microarray datasets
- machine learning
- tumor classification
- gene selection
- pattern recognition
- gene expression microarray data
- gene networks
- gene expression patterns
- tissue samples
- clustering gene expression data
- gene regulatory networks
- regulatory networks
- semi supervised learning
- gene expression data analysis
- decision trees
- unsupervised learning
- feature extraction
- text classification
- high dimensional data
- support vector machine svm
- feature space
- database
- active learning
- data points
- microarray gene expression data
- labeled data
- clustering analysis