Practical application of a Bayesian network approach to poultry epigenetics and stress.

ABSTRACT:

Background

Relationships among genetic or epigenetic features can be explored by learning probabilistic networks and unravelling the dependencies among a set of given genetic/epigenetic features. Bayesian networks (BNs) consist of nodes that represent the variables and arcs that represent the probabilistic relationships between the variables. However, practical guidance on how to make choices among the wide array of possibilities in Bayesian network analysis is limited. Our study aimed to apply a BN approach, while clearly laying out our analysis choices as an example for future researchers, in order to provide further insights into the relationships among epigenetic features and a stressful condition in chickens (Gallus gallus).

Results

Chickens raised under control conditi

SUBMITTER: Videla Rodriguez EA 

PROVIDER: S-EPMC9250184 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature