GSA-PCA: gene set generation by principal component analysis of the Laplacian matrix of a metabolic network.
Dan JacobsonGuy EmertonPublished in: BMC Bioinform. (2012)
Keyphrases
- semi supervised
- principal component analysis
- laplacian matrix
- low dimensional
- covariance matrix
- dimensionality reduction
- pairwise
- feature extraction
- feature space
- independent component analysis
- gene sets
- face recognition
- dimension reduction
- negative matrix factorization
- spectral clustering
- network structure
- discriminant analysis
- linear discriminant analysis
- microarray
- microarray data
- data mining
- high dimensional data
- community structure
- support vector
- kernel pca
- training data
- machine learning