Using 2D Principal Component Analysis to Reduce Dimensionality of Gene Expression Profiles for Tumor Classification.
Shu-Lin WangMin LiHongqiang WangPublished in: ICIC (3) (2011)
Keyphrases
- tumor classification
- gene expression profiles
- principal component analysis
- dimensionality reduction
- gene selection
- gene expression data
- gene expression
- microarray
- feature selection
- feature space
- multi step
- high dimensionality
- microarray data
- dna microarray
- cancer classification
- high dimensional
- clustering analysis
- low dimensional
- face recognition
- self organizing maps
- molecular biology
- linear discriminant analysis
- data sets
- training set
- text classification
- neural network