Partitioning large-sample microarray-based gene expression profiles using principal components analysis.
Leif E. PetersonPublished in: Comput. Methods Programs Biomed. (2003)
Keyphrases
- principal components analysis
- gene expression profiles
- microarray
- gene expression
- high throughput
- gene expression data
- gene selection
- microarray data
- yeast cell cycle
- meta analysis
- covariance matrix
- high dimensionality
- cancer classification
- molecular biology
- gene expression datasets
- dna microarray
- linear discriminant analysis
- gene ontology
- dimensionality reduction
- expression profiles
- cancer diagnosis
- gene networks
- feature extraction
- experimental conditions
- microarray data analysis
- principal components
- gene expression patterns
- support vector machine
- neural network
- sample size
- clustering analysis
- machine learning
- regulatory networks
- model selection
- systems biology
- feature selection
- tissue samples
- gene expression analysis
- data mining
- microarray datasets
- support vector machine svm
- cluster analysis