Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning.
Xiucai YeTetsuya SakuraiPublished in: J. Univers. Comput. Sci. (2018)
Keyphrases
- structure learning
- unsupervised feature selection
- feature selection
- gene regulatory networks
- bayesian networks
- graphical models
- data clustering
- parameter estimation
- microarray data
- transfer learning
- conditional independence
- gene expression data
- dynamic bayesian networks
- unsupervised learning
- network structure
- sample size
- feature extraction
- maximum likelihood estimation
- text classification
- random variables
- probabilistic model
- support vector machine
- markov networks
- dimensionality reduction
- semi supervised
- image classification
- feature space
- support vector
- least squares
- similarity measure