Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle

Multi-omic data integration for the study of production, carcass, and meat quality traits in Nellore cattle

Data integration using hierarchical analysis based on the central dogma or common pathway enrichment analysis may not reveal non-obvious relationships among omic data. Here, we applied factor analysis (FA) and Bayesian network (BN) modeling to integrate different omic data and complex traits by late...

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Bibliographic Details
Main Authors: Francisco José de Novais, Haipeng Yu, Aline Silva Mello Cesar, Mehdi Momen, Mirele Daiana Poleti, Bruna Petry, Gerson Barreto Mourão, Luciana Correia de Almeida Regitano, Gota Morota, Luiz Lehmann Coutinho
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Genetics
Subjects:
Bayesian network
factor analysis
meat quality
latent variables
omics data
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.948240/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2022.948240/full

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