Gene regulatory network inference based on causal discovery integrating with graph neural network.
Ke FengHongyang JiangChaoyi YinHuiyan SunPublished in: Quant. Biol. (2023)
Keyphrases
- causal discovery
- gene regulatory networks
- neural network
- directed acyclic graph
- undirected graphical models
- bayesian networks
- dynamic bayesian networks
- network model
- causal models
- structure learning
- bayesian inference
- causal relationships
- graphical models
- reverse engineering
- conditional random fields
- discovery process
- conditional independence
- gene expression data
- observational data
- directed graph
- probabilistic model
- exact inference
- random walk
- random variables
- partition function
- biological data
- probabilistic inference
- structured prediction
- probabilistic graphical models
- information retrieval
- machine learning
- markov networks
- belief propagation