Biclustering Gene Expressions Using Factor Graphs and the Max-Sum Algorithm.
Matteo DenittoAlessandro FarinelliManuele BicegoPublished in: IJCAI (2015)
Keyphrases
- factor graphs
- max sum algorithm
- gene expression
- gene expression data
- microarray data
- microarray
- message passing
- graphical models
- belief propagation
- biclustering algorithms
- approximate inference
- microarray data analysis
- latent variables
- gene selection
- distributed constraint optimization problems
- probabilistic inference
- exact inference
- high throughput
- probabilistic graphical models
- gene regulatory networks
- biological data
- markov random field
- biological networks
- microarray datasets
- parameter learning
- feature selection
- data sets
- markov networks
- binding sites
- high dimensionality
- experimental conditions
- gene sets
- energy function
- high dimensional data
- gaussian process
- cluster analysis
- graph cuts
- model selection
- support vector machine
- multiagent systems
- random variables