Genetic algorithm-based feature selection with manifold learning for cancer classification using microarray data.
Zixuan WangYi ZhouTatsuya TakagiJiangning SongYu-Shi TianTetsuo ShibuyaPublished in: BMC Bioinform. (2023)
Keyphrases
- manifold learning
- cancer classification
- microarray data
- feature selection
- gene selection
- high dimensional
- dimensionality reduction
- dimension reduction
- microarray
- gene expression data
- cancer diagnosis
- low dimensional
- microarray gene expression data
- feature extraction
- high dimensional data
- gene expression
- semi supervised
- informative genes
- gene expression profiles
- microarray datasets
- analysis of gene expression
- feature space
- colon cancer
- dna microarray
- data sets
- small sample size
- cluster analysis
- random forest
- high dimensionality
- text classification
- text categorization
- feature ranking
- high throughput
- machine learning
- multi class
- gene expression patterns
- pairwise
- classification accuracy
- model selection
- experimental conditions
- database
- image processing
- principal component analysis
- k nearest neighbor
- unsupervised learning