Bayesian Learning with Local Support Vector Machines for Cancer Classification with Gene Expression Data.
Elena MarchioriMichèle SebagPublished in: EvoWorkshops (2005)
Keyphrases
- bayesian learning
- cancer classification
- gene expression data
- support vector
- feature selection
- microarray
- model selection
- gene selection
- gene expression profiling
- cancer diagnosis
- gene expression
- microarray gene expression data
- microarray data
- cross validation
- gene expression datasets
- posterior distribution
- gene expression profiles
- random forest
- colon cancer
- hyperparameters
- gene regulatory networks
- data sets
- informative genes
- high dimensionality
- gene expression analysis
- cancer datasets
- dna microarray
- high dimensional data
- feature ranking
- support vector machine
- analysis of gene expression
- classification accuracy
- microarray datasets
- high throughput
- gene expression patterns
- co occurrence
- dimensionality reduction
- biological processes
- knn
- gene ontology
- expectation maximization
- parameter estimation
- high dimensional
- training data