Gene Regulatory Network Inference Using Time Series


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Documentation for package ‘GRENITS’ version 1.57.0

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analyse.output Analysis Plots
Athaliana_ODE Gene expression time series generated with ODE model
Athaliana_ODE_4NoiseReps Gene expression time series generated with ODE model with added noise
LinearNet Dynamic Bayesian Network Inference Using Linear Interactions
mcmc.defaultParams_gauss Default Parameters for Linear Model with Gaussian distributed replicates
mcmc.defaultParams_Linear Default Parameters for Linear Model
mcmc.defaultParams_nonLinear Default Parameters for non-Linear Model
mcmc.defaultParams_student Default Parameters for Linear Model with Student distributed replicates
NonLinearNet Dynamic Bayesian Network Inference Using Non-Linear Interactions
plotPriors Plot prior using parameter vector
read.chain Read MCMC Chains
ReplicatesNet_gauss Dynamic Bayesian Network Inference Using Linear Interactions and Gaussian Experimental Noise
ReplicatesNet_student Dynamic Bayesian Network Inference Using Linear Interactions and Student Experimental Noise