Annotations are often useful in a network context, e.g. one might want to
label the interacting partners by their pathway membership. This function
takes a network data frame and joins an annotation data frame from both
the left and the right side, so both the source and target molecular
entities will be labeled by their annotations. If one entity has many
annotations these will yield many rows, hence the interacting pairs won't
be unique across the data frame any more. Also if one entity has really
many annotations the resulting data frame might be huge, we recommend to
be careful with that. Finally, if you want to do the same but with
intercell annotations, there is the import_intercell_network
function.
Arguments
- network
Behaviour depends on type: if list, will be passed as arguments to
omnipath_interactions
to obtain a network data frame; if a data frame or tibble, it will be used as a network data frame; if a character vector, will be assumed to be a set of resource names and interactions will be queried from these resources.- annot
Either the name of an annotation resource (for a list of available resources call
annotation_resources
), or an annotation data frame. If the data frame contains more than one resources, only the first one will be used.- network_args
List: if `network` is a resource name, pass these additional arguments to
omnipath_interactions
.- annot_args
List: if `annot` is a resource name, pass these additional arguments to
annotations
.- ...
Column names selected from the annotation data frame (passed to
dplyr::select
, if empty all columns will be selected.)