Learning misclassification costs for imbalanced classification on gene expression data.
Huijuan LuYige XuMinchao YeKe YanZhigang GaoQun JinPublished in: BMC Bioinform. (2019)
Keyphrases
- gene expression data
- cost sensitive
- supervised learning
- class imbalance
- high dimensionality
- learning algorithm
- gene expression
- unsupervised learning
- gene expression analysis
- microarray
- feature selection
- cost sensitive learning
- support vector
- classification accuracy
- cancer classification
- gene expression profiles
- support vector machine svm
- decision rules
- neural network
- machine learning
- data sets
- multi class classification
- binary classification
- decision trees
- pattern recognition
- semi supervised learning
- high dimensional
- text classification
- image classification
- learning process
- support vector machine