corneto.methods.signaling.add_cellnopt_results

corneto.methods.signaling.add_cellnopt_results(graph, method, problem, *, solution=None, model_slice='cellnopt_selected', prediction_attr='predicted', activity_attr='active', measurement_attr='observed', error_attr='absolute_error')

Add a solved CellNOptDAG model and its condition results to AnnNet.

The selected interactions are added to model_slice. Predictions are stored on protein-layer pairs, while copies of selected interactions in each condition layer record whether their reaction is active.

Parameters:

• graph (AnnNet)

• method (CellNOptDAG)

• problem (ProblemDef)

• solution (Any)

• model_slice (str)

• prediction_attr (str)

• activity_attr (str)

• measurement_attr (str)

• error_attr (str)

Return type:

dict[str, Any]