Complexity measures of supervised classifications tasks: A case study for cancer gene expression data.
Marcílio Carlos Pereira de SoutoAna Carolina LorenaNewton SpolaôrIvan Gesteira CostaPublished in: IJCNN (2010)
Keyphrases
- gene expression data
- complexity measures
- gene selection
- gene expression profiles
- cancer diagnosis
- microarray
- cancer classification
- dna microarray
- gene expression
- gene expression datasets
- gene expression data sets
- microarray data
- gene expression profiling
- tissue samples
- feature selection
- biologically significant
- colon cancer
- gene expression data analysis
- gene expression analysis
- gene regulatory networks
- cancer datasets
- analysis of gene expression data
- tumor classification
- data sets
- high dimensionality
- high dimensional
- regulatory networks
- gene expression patterns
- high throughput
- gene networks
- microarray datasets
- lung cancer
- high dimensional data
- pattern recognition
- support vector machine svm
- unsupervised learning
- semi supervised
- gene ontology terms