Practical Guidelines for Incorporating Knowledge-Based and Data-Driven Strategies into the Inference of Gene Regulatory Networks.
Yu-Ting HsiaoWei-Po LeeWei YangStefan MüllerChristoph FlammIvo L. HofackerPhilipp KüglerPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2016)
Keyphrases
- gene regulatory networks
- data driven
- practical guidelines
- dynamic bayesian networks
- bayesian inference
- gene regulatory
- reverse engineering
- network model
- gene expression data
- regulatory networks
- bayesian networks
- case study
- boolean networks
- biological data
- structure learning
- evaluation process
- particle filtering
- approximate inference
- gene expression
- neural network
- probabilistic inference
- high dimensionality
- graphical models
- information extraction
- probabilistic model
- machine learning
- real world