Render a Cytoscape network visualisation
cytoscapeNetwork.RdCreates an interactive network diagram powered by Cytoscape.js and the dagre layout algorithm. Nodes can carry log fold-change (logFC) values which are mapped to a blue-grey-red colour gradient. PTM (post-translational modification) site information is shown as small satellite nodes and edge overlaps are surfaced as hover tooltips.
Usage
cytoscapeNetwork(
nodes,
edges = data.frame(),
displayLabelType = "id",
nodeFontSize = 12,
layoutOptions = NULL,
width = NULL,
height = NULL,
elementId = NULL
)Arguments
- nodes
Data frame with at minimum an
idcolumn. Optional columns:logFC(numeric),entity_name(character; may be semicolon-joined for multi-grounded rows),entity_id(character),site(character, underscore-separated PTM site list), and the node status columns ofvalidate_network():entity_typesets the node shape (e.g. a hexagon for"metabolite");measured = FALSEdraws a node with no fill and a dashed grey border ("not in input data");included_in_query = FALSEfades it. A node with anNAlogFChas no fill. A protein withsiterows takes its colour from its row with nosite; without one, only its sites are coloured. Missing status columns count asTRUE.- edges
Data frame with columns
source,target,interaction. Optional:directed(an edge withFALSEhas no arrow and is drawn once for both directions; without the column,ComplexandAssociationedges are undirected),site,evidence_url, opened when an edge is clicked.- displayLabelType
"id"(default) or"entity_name": which column is used as the visible node label."entityName"is deprecated and is treated as"entity_name"with a warning.- nodeFontSize
Font size (px) for node labels. Default
12.- layoutOptions
Named list of dagre layout options to override the defaults (e.g.
list(rankDir = "LR")).- width, height
Widget dimensions passed to
createWidget.- elementId
Optional explicit HTML element id.
Examples
if (FALSE) { # \dontrun{
nodes <- data.frame(
id = c("TP53", "MDM2", "CDKN1A"),
logFC = c(1.5, -0.8, 2.1),
stringsAsFactors = FALSE
)
edges <- data.frame(
source = c("TP53", "MDM2"),
target = c("MDM2", "TP53"),
interaction = c("Activation", "Inhibition"),
stringsAsFactors = FALSE
)
cytoscapeNetwork(nodes, edges)
} # }