A Bayesian Network Classification Methodology for Gene Expression Data.
Paul HelmanRobert VeroffSusan R. AtlasCheryl WillmanPublished in: J. Comput. Biol. (2004)
Keyphrases
- gene expression data
- microarray
- gene expression analysis
- gene expression
- cancer classification
- dna microarray data
- high dimensionality
- gene expression profiles
- bayesian networks
- dna microarray
- cancer diagnosis
- feature selection
- microarray data
- microarray datasets
- colon cancer
- gene selection
- tumor classification
- analysis of gene expression data
- tissue samples
- gene expression datasets
- decision trees
- gene expression profiling
- feature vectors
- support vector machine
- pattern recognition
- gene expression data analysis
- gene expression microarray data
- clustering gene expression data
- machine learning
- gene regulatory networks
- high throughput
- support vector machine svm
- gene networks
- regulatory networks
- microarray data analysis
- high dimensional data
- high dimensional
- feature extraction
- clustering analysis
- microarray gene expression data
- simultaneous clustering
- cancer datasets
- text mining
- classification accuracy
- data sets