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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Detalles Bibliográficos
Autores principales: Li, Xiang, Xie, Shanghong, McColgan, Peter, Tabrizi, Sarah J., Scahill, Rachael I., Zeng, Donglin, Wang, Yuanjia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176748/
https://www.ncbi.nlm.nih.gov/pubmed/30333854
http://dx.doi.org/10.3389/fgene.2018.00430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6176748/
https://www.ncbi.nlm.nih.gov/pubmed/30333854
http://dx.doi.org/10.3389/fgene.2018.00430

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