An empirical Bayesian method for estimating biological networks from temporal microarray data

DOI10.2202/1544-6115.1513zbMath1304.92066OpenAlexW2199776355WikidataQ33536117 ScholiaQ33536117MaRDI QIDQ2254443

Andrea Rau, Jean-Louis Foulley, Florence Jaffrézic, Rebecca W. Doerge

Publication date: 5 February 2015

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

Full work available at URL: https://doi.org/10.2202/1544-6115.1513

zbMATH Keywords

gene regulatory networksdynamic Bayesian networktemporal microarray data

Mathematics Subject Classification ID

General biostatistics (92B15) Genetics and epigenetics (92D10) Systems biology, networks (92C42)

Related Items (4)

Learning local directed acyclic graphs based on multivariate time series data ⋮ Reverse engineering gene regulatory networks using approximate Bayesian computation ⋮ PROBABILISTIC GRAPHICAL MODELLING OF CAUSAL EFFECTS AMONG THE OCCURRENCES OF TRANSCRIPTION FACTORS IN DNA SEQUENCE ⋮ ebdbNet

Uses Software

• R

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