A comparative study of two matrix factorization methods applied to the classification of gene expression data.
Vladimir NikulinTian-Hsiang HuangGeoffrey J. McLachlanPublished in: BIBM (2010)
Keyphrases
- gene expression data
- factorization methods
- gene expression
- matrix factorization
- microarray
- high dimensionality
- feature selection
- gene expression analysis
- gene expression profiles
- microarray data
- cancer classification
- cancer diagnosis
- colon cancer
- dna microarray
- microarray datasets
- pattern recognition
- data sets
- feature extraction
- support vector
- high dimensional data
- analysis of gene expression data
- tissue samples
- data mining
- gene expression datasets
- support vector machine svm
- training set
- feature vectors
- feature space
- low rank
- clustering algorithm
- machine learning
- high dimensional
- text classification
- model selection