Comparison of data-merging methods with SVM attribute selection and classification in breast cancer gene expression.
Vitoantonio BevilacquaPaolo PannaraleMirko AbbresciaClaudia CavaAngelo ParadisoStefania TommasiPublished in: BMC Bioinform. (2012)
Keyphrases
- cancer datasets
- gene expression
- breast cancer
- gene expression data
- microarray
- attribute selection
- microarray datasets
- support vector machine svm
- dna microarray
- data sets
- genomic data
- statistical analysis
- gene expression profiles
- data mining methods
- statistical methods
- cancer classification
- support vector
- training data
- microarray data
- support vector machine
- data sources
- feature vectors
- decision trees
- selected genes
- data mining techniques
- logistic regression
- feature space
- machine learning
- cross validation
- classification models
- data points
- classification accuracy
- svm classifier
- high dimensional data
- gene expression analysis
- gene expression datasets
- data analysis
- data mining