Inferring Dynamic Genetic Networks with Low Order Independencies

DOI10.2202/1544-6115.1294zbMath1276.62080arXiv0704.2551OpenAlexW1990552935WikidataQ33409970 ScholiaQ33409970MaRDI QIDQ2864047

Sophie Lèbre

Publication date: 5 December 2013

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

Full work available at URL: https://arxiv.org/abs/0704.2551

zbMATH Keywords

dynamic Bayesian networksconditional independencedirected acyclic graphsgraphical modelingtime series modelingsoftware Rnetworks inferenceR package G1DBN

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Genetics and epigenetics (92D10) Graphical methods in statistics (62A09)

Related Items (3)

Inferring dynamic gene regulatory networks with low-order conditional independencies -- an evaluation of the method ⋮ Operator-valued kernel-based vector autoregressive models for network inference ⋮ G1DBN

Uses Software

• R
• CRAN
• BNT
• MGraph

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