Inferring Regulatory Networks From Mixed Observational Data Using Directed Acyclic Graphs

Construction of regulatory networks using cross-sectional expression profiling of genes is desired, but challenging. The Directed Acyclic Graph (DAG) provides a general framework to infer causal effects from observational data. However, most existing DAG methods assume that all nodes follow the same...

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Detalhes bibliográficos
Publicado no:Front Genet
Main Authors: Zhong, Wujuan, Dong, Li, Poston, Taylor B., Darville, Toni, Spracklen, Cassandra N., Wu, Di, Mohlke, Karen L., Li, Yun, Li, Quefeng, Zheng, Xiaojing
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020
Assuntos:
Genetics
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7038820/
https://ncbi.nlm.nih.gov/pubmed/32127796
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2020.00008
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