Two Covariances Harnessing Fuzzy Clustering Based PCA for Discrimination of Microarray Data.
Mika Sato-IlicPublished in: CIBB (2012)
Keyphrases
- microarray data
- feature selection
- covariance matrix
- high dimensional
- microarray
- principal component analysis
- gene expression
- gene selection
- microarray classification
- gene networks
- gene expression data
- microarray data analysis
- microarray gene expression data
- meta analysis
- data sets
- dimensionality reduction
- cluster analysis
- differentially expressed genes
- cancer classification
- gene clusters
- face recognition
- microarray datasets
- feature extraction
- biologically relevant
- small number of samples
- dna microarray
- database
- gene sets
- high throughput
- biological data
- dimension reduction
- gene expression patterns
- dna microarray data
- face images
- gene expression profiles
- experimental conditions
- machine learning
- linear discriminant analysis
- pattern recognition
- feature set
- microarray analysis
- feature space
- knn