Gene Expression Classification: Decision Trees vs. SVMs.
Xiaojing YuanXiaohui YuanFan YangJing PengBill P. BucklesPublished in: FLAIRS Conference (2003)
Keyphrases
- gene expression
- decision trees
- support vector
- gene expression data
- microarray
- gene expression profiles
- colon cancer
- machine learning
- feature selection
- support vector machine svm
- gene selection
- microarray data
- gene expression analysis
- microarray gene
- support vector machine
- dna microarray
- gene expression microarray data
- microarray datasets
- feature vectors
- microarray data analysis
- cancer classification
- svm classifier
- gene expression data analysis
- gene regulation
- feature space
- high dimensionality
- biological processes
- training set
- survival prediction
- training data
- functional genomics
- random forest
- analysis of gene expression
- machine learning algorithms
- gene expression data sets
- gene expression patterns
- high throughput
- data sets
- logistic regression
- regulatory networks
- transcription factors
- feature ranking
- biological networks
- text classification
- classification accuracy
- cancer diagnosis
- differentially expressed genes
- feature extraction
- gene interactions
- knn