A Novel Synthetic Over-Sampling Technique for Imbalanced Classification of Gene Expressions Using Autoencoders and Swarm Optimization.
Maisa DaoudMichael MayoPublished in: Australasian Conference on Artificial Intelligence (2018)
Keyphrases
- gene expression
- swarm optimization
- class imbalance
- ovarian cancer
- imbalanced data
- microarray data
- feature selection
- gene expression profiles
- dna microarray
- microarray
- gene expression data
- class distribution
- decision trees
- microarray gene
- biological processes
- gene selection
- support vector machine svm
- unsupervised learning
- training set
- gene expression analysis
- gene expression patterns
- swarm intelligence
- minority class
- data sets
- high dimensionality
- genetic programming
- feature space
- machine learning