Unsupervised learning of transcriptional regulatory networks via latent tree graphical models.
Anthony GitterFurong HuangRagupathyraj ValluvanErnest FraenkelAnimashree AnandkumarPublished in: CoRR (2016)
Keyphrases
- regulatory networks
- graphical models
- unsupervised learning
- gene regulatory networks
- gene expression
- belief propagation
- structure learning
- probabilistic model
- microarray
- gene expression data
- random variables
- approximate inference
- probabilistic inference
- microarray data
- expectation maximization
- machine learning
- conditional random fields
- supervised learning
- dimensionality reduction
- computational biology
- bayesian networks
- semi supervised
- biological data
- markov networks
- protein protein interactions
- cluster analysis
- biological systems
- systems biology
- feature selection
- model selection
- conditional independence
- high dimensional
- data analysis
- data model
- feature space
- biological processes