corneto.methods.signaling.add_cellnopt_conditions

corneto.methods.signaling.add_cellnopt_conditions(graph, *, inputs, measurements, inhibitors=None, condition_aspect='condition', input_attr='input', inhibitor_attr='inhibited', measurement_attr='observed')

Add CellNOpt perturbations and measurements as AnnNet condition layers.

Every condition receives a copy of the graph’s existing vertices. Input, inhibitor, and measurement values are stored as vertex-layer attributes. The returned mapping can be passed to build_cellnopt_from_annnet when a caller wants to name or select layers explicitly.

Parameters:

• graph (AnnNet)

• inputs (Mapping[str, Mapping[str, Any]])

• measurements (Mapping[str, Mapping[str, Any]])

• inhibitors (Mapping[str, Mapping[str, Any]] | None)

• condition_aspect (str)

• input_attr (str)

• inhibitor_attr (str)

• measurement_attr (str)

Return type:

dict[str, tuple[str, …]]