UNAGI.dynamic_regulatory_networks.processIDREM.runIdrem

UNAGI.dynamic_regulatory_networks.processIDREM.runIdrem(paths, midpath, idremInput, genenames, iteration, idrem_dir, species='Human', Minimum_Standard_Deviation=0.01, Convergence_Likelihood=0.1, Minimum_Absolute_Log_Ratio_Expression=0.05, trained=False)[source]

train IDREM model and save the results in iterative training with midpath and iteration

Parameters:

  • paths (the path of IPF progression)

  • idremInput (average gene expression of each path)

  • trained (if the model is trained, use saved model)