Non-homogeneous dynamic Bayesian networks with Bayesian regularization for inferring gene regulatory networks with gradually time-varying structure

DOI10.1007/s10994-012-5311-xzbMath1260.92027OpenAlexW2113273949MaRDI QIDQ1945024

Frank Dondelinger, Dirk Husmeier, Sophie Lèbre

Publication date: 28 March 2013

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-012-5311-x

zbMATH Keywords

reversible jump Markov chain Monte Carlo hierarchical Bayesian models systems and synthetic biology gene expression time series multiple changepoint processes

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Systems biology, networks (92C42)

Related Items (11)

Exact Bayesian inference for off-line change-point detection in tree-structured graphical models ⋮ Inferring dynamic gene regulatory networks with low-order conditional independencies -- an evaluation of the method ⋮ A non-homogeneous dynamic Bayesian network with a hidden Markov model dependency structure among the temporal data points ⋮ Regularization of non-homogeneous dynamic Bayesian networks with global information-coupling based on hierarchical Bayesian models ⋮ Spectral Bayesian network theory ⋮ Inferring large graphs using \(\ell_1\)-penalized likelihood ⋮ Joint estimation of multiple related biological networks ⋮ Operator-valued kernel-based vector autoregressive models for network inference ⋮ Unnamed Item ⋮ Bayesian Graphical Regression ⋮ Self-regularized causal structure discovery for trajectory-based networks

Cites Work

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