Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks.
Olivier GevaertFrank De SmetDirk TimmermanYves MoreauBart De MoorPublished in: ISMB (Supplement of Bioinformatics) (2006)
Keyphrases
- microarray data
- breast cancer
- bayesian networks
- breast cancer patients
- prognostic factors
- bladder cancer
- cancer patients
- microarray
- clinical diagnosis
- early detection
- gene selection
- disease progression
- dna microarray
- outcome prediction
- feature selection
- gene expression
- logistic regression
- cancer classification
- gene expression data
- selected genes
- data sets
- cluster analysis
- high dimensional
- high throughput
- biological data
- gene expression profiles
- survival analysis
- microarray datasets
- cancer datasets
- gene networks
- gene sets
- clinical data
- informative genes
- support vector
- treatment planning
- computational methods
- naive bayes