Write the Cytoscape GraphML network export — to_network

Mirrors the React webapp's "GraphML" Cytoscape export button + Python's `to_network_graphml()` byte-for-byte. Nodes are sets (id = letter, label = set name, size = inclusive cardinality); edges are ALL pairwise overlaps (weight = the `intersection` metric by default) carrying jaccard, foldEnrichment, overlapCoeff, dice, pValue, fdr, and significant attributes. Node/edge order and numeric rendering are pinned – see `packages/core/src/networkExport.ts` for the parity contract.

Usage

to_network_graphml(result, path)

# S4 method for class 'RegionResult'
to_network_graphml(result, path)

Arguments

result: A [`RegionResult-class`].
path: Destination file path.

Value

Invisibly returns `path`.

Examples

ds <- methods::new("VennDataset",
    set_names = c("A", "B"),
    items = list(A = c("x", "y"), B = c("y", "z")),
    item_order = c("x", "y", "z"),
    universe_size = 10L, source_path = NULL, format = "csv")
result <- analyze(ds)
to_network_graphml(result, tempfile(fileext = ".graphml"))
# \donttest{
result <- analyze(load_sample("dataset_real_cancer_drivers_4"))
to_network_graphml(result, tempfile(fileext = ".graphml"))
# }