K-means+ Method for Improving Gene Selection for Classification of Microarray Data.
Heng HuangRong ZhangFei XiongFillia MakedonLi ShenBruce HettlemanJustin D. PearlmanPublished in: CSB Workshops (2005)
Keyphrases
- microarray data
- gene selection
- dna microarray data
- microarray
- microarray analysis
- support vector machine svm
- cancer classification
- gene expression microarray data
- feature selection
- microarray data analysis
- ovarian cancer
- k means
- gene expression
- cancer diagnosis
- support vector machine
- clustering method
- relevant genes
- microarray classification
- gene expression profiles
- microarray datasets
- feature ranking
- cluster analysis
- machine learning methods
- gene expression data
- decision trees
- small number of samples
- colon cancer
- similarity measure
- informative genes
- unsupervised learning
- support vector
- gene sets
- high dimensionality
- feature set
- gene expression patterns
- clustering analysis
- feature vectors
- high throughput
- text classification
- clustering algorithm