Inferring the experimental design for accurate gene regulatory network inference.
Deniz SeçilmisThomas HillertonSven NelanderErik L. L. SonnhammerPublished in: Bioinform. (2021)
Keyphrases
- experimental design
- gene regulatory networks
- undirected graphical models
- dynamic bayesian networks
- empirical studies
- active learning
- reverse engineering
- bayesian inference
- gene expression data
- graphical models
- sample size
- structure learning
- probabilistic inference
- bayesian networks
- biological data
- belief networks
- conditional random fields
- network model
- class imbalance
- databases
- feature selection