Boosting Support Vector Machines for Imbalanced Microarray Data.
Risky Frasetio Wahyu PratamaSanti Wulan PurnamiSanti Puteri RahayuPublished in: INNS Conference on Big Data (2018)
Keyphrases
- microarray data
- feature selection
- support vector
- microarray
- gene selection
- gene expression data
- microarray data analysis
- classification accuracy
- meta analysis
- support vector machine
- differentially expressed genes
- gene expression
- gene networks
- cluster analysis
- data sets
- class imbalance
- logistic regression
- high dimensional
- small number of samples
- cross validation
- text classification
- cancer classification
- gene clusters
- microarray classification
- generalization ability
- kernel function
- microarray datasets
- biologically meaningful
- machine learning
- feature set
- feature extraction
- svm classifier
- feature ranking
- unsupervised learning
- dna microarray
- feature space
- similarity measure
- microarray gene expression data
- learning algorithm