Independent Principal Component Analysis for biologically meaningful dimension reduction of large biological data sets.
Fangzhou YaoJeff CoqueryKim-Anh Lê CaoPublished in: BMC Bioinform. (2012)
Keyphrases
- dimension reduction
- biologically meaningful
- principal component analysis
- data sets
- microarray data
- high dimensional data
- biological networks
- high dimensional
- linear discriminant analysis
- dimensionality reduction
- cluster analysis
- low dimensional
- dimension reduction methods
- feature extraction
- feature selection
- feature space
- singular value decomposition
- independent component analysis
- microarray
- dimensionality reduction methods
- biological data
- gene sets
- gene expression
- unsupervised learning
- high dimensionality
- face recognition
- gene selection
- clustering method
- discriminant analysis
- gene expression data
- least squares
- data sources
- training set
- pattern recognition
- neural network