Data-driven reverse engineering of signaling pathways using ensembles of dynamic models.
David HenriquesAlejandro Fernández VillaverdeMiguel RochaJulio Saez-RodriguezJulio R. BangaPublished in: PLoS Comput. Biol. (2017)
Keyphrases
- dynamic model
- reverse engineering
- data driven
- signaling pathways
- gene regulatory networks
- systems biology
- regulatory networks
- software engineering
- biological processes
- experimental data
- ensemble learning
- object oriented
- decision trees
- gene ontology
- protein protein interactions
- protein protein interaction networks
- ensemble methods
- protein interaction networks
- biological networks
- data analysis
- gene expression