ENTRAIN: integrating trajectory inference and gene regulatory networks with spatial data to co-localize the receptor-ligand interactions that specify cell fate.
Wunna KyawRyan C. ChaiWeng Hua KhooLeonard D. GoldsteinPeter I CroucherJohn M. MurrayTri Giang PhanPublished in: Bioinform. (2023)
Keyphrases
- spatial data
- gene regulatory networks
- systems biology
- signaling pathways
- dynamic bayesian networks
- interaction networks
- bayesian inference
- drug discovery
- regulatory networks
- biological knowledge
- reverse engineering
- cell cycle
- biological data
- gene networks
- spatial databases
- network model
- gene expression data
- spatial data mining
- bayesian networks
- high throughput
- biological processes
- gene regulation
- data analysis
- structure learning
- probabilistic inference
- biological systems
- biological networks
- protein interaction
- gene expression
- microarray
- microarray data
- probabilistic model
- association rules
- feature selection
- neural network
- data sets
- database