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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Vydáno v:Front Genet
Hlavní autoři: Li, Xiang, Xie, Shanghong, McColgan, Peter, Tabrizi, Sarah J., Scahill, Rachael I., Zeng, Donglin, Wang, Yuanjia
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2018
Témata:
Genetics
On-line přístup: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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