Partial Mutual Information for Classification of Gene Expression Data by Learning Vector Quantization.
Mandy LangeDavid NebelThomas VillmannPublished in: WSOM (2014)
Keyphrases
- learning vector quantization
- gene expression data
- mutual information
- feature selection
- microarray
- neural network
- gene expression
- self organizing maps
- cancer classification
- gene expression analysis
- gene expression profiles
- microarray data
- high dimensionality
- colon cancer
- gene expression datasets
- image registration
- similarity measure
- cancer diagnosis
- dna microarray data
- dna microarray
- gene expression data analysis
- gene selection
- classification accuracy
- gene expression data sets
- microarray datasets
- gene regulatory networks
- information theoretic
- tumor classification
- clustering gene expression data
- feature space
- high dimensional
- data analysis
- high dimensional data
- unsupervised learning
- text classification
- microarray gene expression data
- feature vectors
- support vector machine
- gene expression patterns
- microarray data analysis
- pattern recognition
- active learning
- computer vision
- nearest neighbor
- supervised learning
- machine learning
- regulatory networks
- decision trees
- data sets