Gene Selection Based on Supervised Vector Representation of Genes.
Tian YuFei GaoHan JinJin-Mao WeiPublished in: PRICAI (2014)
Keyphrases
- gene selection
- vector representation
- microarray data
- microarray
- cancer classification
- feature selection
- gene expression data
- dna microarray
- fixed length
- informative genes
- similarity measure
- gene expression
- similarity computation
- gene expression datasets
- microarray data analysis
- document representation
- dna microarray data
- gene expression profiles
- microarray datasets
- wilcoxon rank sum
- cancer diagnosis
- semantic description
- semi supervised
- learning algorithm
- support vector machine svm
- variable length
- distance measure
- unsupervised learning
- supervised learning
- small number of samples
- gene sets
- biological data
- high throughput
- bag of words
- support vector machine
- microarray analysis
- differentially expressed genes
- machine learning
- data sets
- high dimensional
- ovarian cancer
- computer vision