Inferring dynamic gene regulatory networks with low-order conditional independencies -- an evaluation of the method

DOI10.1515/sagmb-2020-0051zbMath1461.92033OpenAlexW3117499742MaRDI QIDQ830655

Michael G. Madden, Hamda B. Ajmal

Publication date: 7 May 2021

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/sagmb-2020-0051

zbMATH Keywords

gene regulatory networksgene networksdynamic Bayesian networksconditional independence

Mathematics Subject Classification ID

Genetics and epigenetics (92D10) Systems biology, networks (92C42)

Uses Software

• lars
• G1DBN
• MESS
• KEGG
• ARACNE
• BGRMI
• YEASTRACT
• GlobalMIT

Cites Work

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• Least angle regression. (With discussion)
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• Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure
• Weighted-LASSO for structured network inference from time course data
• Evolutionary learning of dynamic probabilistic models with large time lags
• Inferring Dynamic Genetic Networks with Low Order Independencies
• A Non-Homogeneous Dynamic Bayesian Network with Sequentially Coupled Interaction Parameters for Applications in Systems and Synthetic Biology
• Low-Order Conditional Independence Graphs for Inferring Genetic Networks

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