SAMBA: Structure-Learning of Aquaculture Microbiomes Using a Bayesian Approach
Beatriz Soriano, Ahmed Ibrahem Hafez, Fernando Naya-Català, Federico Moroni, Roxana Andreea Moldovan, Socorro Toxqui-Rodríguez, María Carla Piazzon, Vicente Arnau, Carlos Lloréns, Jaume Pérez‐Sánchez
SAMBA models fish gut microbiome interactions using Bayesian networks to infer how farming conditions affect microbiome diversity and predict changes under experimental variables.
Genes · Aug 19, 2023Peer-reviewedBioinformatics