A feature selection technique for inference of graphs from their known topological properties: Revealing scale-free gene regulatory networks.
Fabrício Martins LopesDavid Correa Martins Jr.Junior BarreraRoberto Marcondes Cesar Jr.Published in: Inf. Sci. (2014)
Keyphrases
- topological properties
- scale free
- gene regulatory networks
- feature selection
- small world
- gene expression data
- biological networks
- dynamic bayesian networks
- bayesian inference
- degree distribution
- protein protein interaction networks
- protein interaction networks
- complex networks
- reverse engineering
- power law
- network model
- structural properties
- biological data
- functional modules
- graph theory
- random graphs
- network properties
- clustering coefficient
- high dimensionality
- bayesian networks
- structure learning
- microarray data
- microarray
- probabilistic model
- community structure
- gene expression
- network structure
- software engineering
- feature space
- machine learning
- graph mining
- dimensionality reduction
- high dimensional
- data sets
- probabilistic inference