PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms.
Marc BruckskottenMario LoosoFranz CemicAnne KonzerJürgen HembergerMarkus KrugerThomas BraunPublished in: BMC Bioinform. (2010)
Keyphrases
- preprocessing
- experimental evaluation
- synthetic data
- pairwise
- dynamic programming
- cost function
- high precision
- segmentation method
- covariance matrix
- high accuracy
- significant improvement
- k means
- high dimensional
- computational complexity
- objective function
- principle component analysis
- multivariate data
- subspace methods
- principal components
- independent component analysis
- probabilistic model
- input data
- principal component analysis
- semi supervised
- similarity measure
- computational cost
- multiscale