Gene Selection in Classification Problems via Projections onto a Latent Space.
Marilena PillatiCinzia ViroliPublished in: GfKl (2005)
Keyphrases
- gene selection
- latent space
- microarray data
- low dimensional
- microarray
- latent variables
- gaussian process
- high dimensional
- dimensionality reduction
- lower dimensional
- manifold learning
- matrix factorization
- parameter space
- generative model
- gene expression data
- feature selection
- feature space
- probabilistic latent semantic analysis
- gaussian processes
- gene expression
- gaussian process latent variable models
- transfer learning
- support vector machine svm
- distance metric
- pattern recognition
- regression model
- high dimensional data
- gaussian mixture
- cluster analysis
- co occurrence
- support vector machine
- prior knowledge
- bayesian networks
- neural network