Enhanced semi-supervised local fisher discriminant analysis for gene expression data classification.
Hong HuangJianwei LiHailiang FengRuxi XiangPublished in: BIC-TA (2010)
Keyphrases
- gene expression data
- semi supervised
- microarray
- high dimensionality
- gene expression
- gene expression analysis
- gene expression profiles
- cancer classification
- feature selection
- dna microarray data
- cancer diagnosis
- gene expression datasets
- tumor classification
- dna microarray
- colon cancer
- supervised learning
- pattern recognition
- gene selection
- gene expression data analysis
- microarray datasets
- microarray data
- decision trees
- feature extraction
- machine learning
- gene expression data sets
- microarray data analysis
- text classification
- support vector machine
- training set
- gene expression microarray data
- gene expression patterns
- data sets
- tissue samples
- microarray gene expression data
- analysis of gene expression data
- gene expression profiling
- gene regulatory networks
- support vector
- gene networks
- regulatory networks
- high throughput
- feature space
- cancer datasets
- pairwise
- clustering gene expression data
- database
- training data
- feature vectors
- active learning
- text mining
- dimensionality reduction
- unsupervised learning
- semi supervised learning
- high dimensional data
- class labels
- feature ranking