Learning Subject-Specific Directed Acyclic Graphs With Mixed Effects Structural Equation Models From Observational Data

The identification of causal relationships between random variables from large-scale observational data using directed acyclic graphs (DAG) is highly challenging. We propose a new mixed-effects structural equation model (mSEM) framework to estimate subject-specific DAGs, where we represent joint dis...

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Detalhes bibliográficos
Publicado no:Front Genet
Main Authors: Li, Xiang, Xie, Shanghong, McColgan, Peter, Tabrizi, Sarah J., Scahill, Rachael I., Zeng, Donglin, Wang, Yuanjia
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2018
Assuntos:
Genetics
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6176748/
https://ncbi.nlm.nih.gov/pubmed/30333854
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2018.00430
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