liana.method.build_prior_network

liana.method.build_prior_network#

liana.method.build_prior_network(ppis, input_nodes, output_nodes, lr_sep=None, verbose=False)#

Build Prior Network from PPIs and input/output nodes.

Parameters:

  • ppis (DataFrame | list[tuple[str, str]]) – The PPIs to use for the prior network. If a pandas DataFrame is provided, it must have the columns

  • input_nodes (dict[str, float]) – A dictionary of input nodes. The keys are the node names, the values are the node scores.

  • output_nodes (dict[str, float]) – A dictionary of output nodes. The keys are the node names, the values are the node scores.

  • lr_sep (str | None (default: None)) – The separator to use to split the input nodes into ligand and receptor. If None, the input nodes will be used as is.

  • verbose (bool (default: False)) – Whether to print progress information. Default: True

Returns:

corneto.Graph