Gene Regulatory Network Inference Using Time Series

Documentation for package ‘GRENITS’ version 1.45.0

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