Microarray-based classification and clinical predictors: on combined classifiers and additional predictive value.
Anne-Laure BoulesteixChristine PorzeliusMartin DaumerPublished in: Bioinform. (2008)
Keyphrases
- microarray
- acute leukemia
- dna microarray
- gene expression
- cancer datasets
- high dimensionality
- cancer classification
- gene expression profiles
- decision trees
- microarray data analysis
- microarray data
- support vector
- gene expression data
- high throughput
- colon cancer
- gene expression analysis
- microarray datasets
- classification models
- feature selection
- classification algorithm
- classification accuracy
- gene selection
- microarray analysis
- gene ontology
- clustering analysis
- accurate classification
- gene expression microarray data
- experimental conditions
- class labels
- svm classifier
- feature set
- feature ranking
- machine learning algorithms
- cancer diagnosis
- ensemble classifier
- molecular biology
- microarray expression data
- training set
- gene networks
- machine learning
- support vector machine
- regulatory networks
- machine learning methods
- gene expression data sets
- support vector machine svm
- training data
- feature subset
- gene expression datasets
- tissue samples
- ovarian cancer
- fold cross validation
- gene expression profiling
- roc curve
- supervised learning
- random forest
- differentially expressed genes
- ensemble methods
- feature vectors
- model selection