A Machine Learning Approach to Simulate Gene Expression and Infer Gene Regulatory Networks.
Francesco ZitoVincenzo CutelloMario PavonePublished in: Entropy (2023)
Keyphrases
- gene expression
- gene regulatory networks
- gene expression data
- gene interactions
- gene regulation
- microarray
- regulatory networks
- microarray data
- gene expression patterns
- biological processes
- systems biology
- gene expression analysis
- gene networks
- gene selection
- gene expression data sets
- gene expression profiles
- biological networks
- genomic data
- interaction networks
- network model
- dna microarray
- reverse engineering
- binding sites
- biological knowledge
- cancer classification
- feature selection
- high dimensionality
- bayesian inference
- cell cycle
- biological data
- experimental conditions
- neural network
- structure learning