Constructing gene regulatory networks from microarray data using non-Gaussian pair-copula Bayesian networks.
Omid ChatrabgounAmin Hosseinian FarAlireza DaneshkhahPublished in: J. Bioinform. Comput. Biol. (2020)
Keyphrases
- microarray data
- gene regulatory networks
- gene expression data
- bayesian networks
- gene networks
- biological data
- microarray
- yeast cell cycle
- gene expression
- microarray gene expression data
- structure learning
- regulatory networks
- high dimensional data
- dynamic bayesian networks
- gene selection
- saccharomyces cerevisiae
- gene regulation
- systems biology
- data sets
- gene expression profiles
- feature selection
- reverse engineering
- cancer classification
- pairwise
- conditional independence
- high dimensional
- gene expression patterns
- network model
- high dimensionality
- high throughput
- biological networks
- conditional probabilities
- graphical models
- probabilistic inference
- biological processes
- gene sets
- data points
- dna microarray
- gene ontology
- biological knowledge
- neural network
- data analysis
- experimental conditions