Feature Selection as a Preprocessing Step for Classification in Gene Expression Data.
Helyane Bronoski BorgesJúlio C. NievolaPublished in: ISDA (2007)
Keyphrases
- feature selection
- preprocessing step
- gene expression data
- high dimensionality
- classification accuracy
- cancer classification
- microarray data
- data preprocessing
- gene expression data sets
- text classification
- gene expression analysis
- feature selection algorithms
- dimensionality reduction
- feature extraction
- classification models
- gene expression profiles
- feature set
- microarray datasets
- support vector machine
- dna microarray data
- tumor classification
- gene expression microarray data
- dna microarray
- gene selection
- gene regulatory networks
- cancer diagnosis
- text categorization
- analysis of gene expression data
- support vector
- machine learning
- model selection
- preprocessing
- gene expression profiling
- gene expression data analysis
- dimensionality reduction methods
- microarray gene expression data
- gene expression datasets
- microarray
- feature space
- dimension reduction
- data sets
- pattern recognition
- feature subset
- colon cancer
- high dimensional data
- knn
- gene expression
- feature ranking
- clustering gene expression data
- fold cross validation
- microarray data analysis
- naive bayes
- tissue samples
- small sample size
- gene sets
- regulatory networks