Comparison of Data-Merging Methods with SVM Attribute Selection and Classification in Breast Cancer Gene Expression.
Vitoantonio BevilacquaPaolo PannaraleMirko AbbresciaClaudia CavaStefania TommasiPublished in: ICIC (3) (2011)
Keyphrases
- gene expression
- cancer datasets
- breast cancer
- microarray
- gene expression data
- attribute selection
- genomic data
- microarray datasets
- support vector machine svm
- support vector
- training data
- data mining techniques
- data sets
- dna microarray
- statistical methods
- feature selection
- data analysis
- high dimensional data
- classification accuracy
- cancer classification
- statistical analysis
- data sources
- logistic regression
- cross validation
- decision trees
- selected genes
- feature subset
- data mining methods
- feature space
- feature extraction
- machine learning
- text classification
- mutual information
- support vector machine
- knn
- gene selection
- knowledge discovery
- gene expression profiles
- feature vectors
- training set
- data mining