Constructs a child node for a gating tree based on the specified gating marker and its state, along with related gating statistics and history.
Usage
createChildNode(
marker,
current_marker_state,
indices,
available_markers,
current_entropy,
current_enrichment,
average_proportion,
entropy_scores,
enrichment_scores,
history,
isPositive = TRUE,
depth,
usedmarkers,
path
)Arguments
- marker
Character string of the marker name.
- current_marker_state
Current state of all markers at the node.
- indices
Indices of the data used in this node.
- available_markers
Markers available for further gating.
- current_entropy
Current entropy score of the node.
- current_enrichment
Current enrichment score of the node.
- entropy_scores
Entropy scores dataframe.
- enrichment_scores
Enrichment scores dataframe.
- history
List object containing the history of previous steps.
- isPositive
Logical, indicating if the marker state is positive.
- depth
Integer, the depth of the node in the tree.
- usedmarkers
Vector of markers already used in previous nodes.
- path
The path from the root to the current node.
See also
Other GatingTree:
GatingTreeToDF(),
PlotDeltaEnrichment(),
PruneGatingTree(),
addChildNode(),
add_prune(),
apply_gating_conditions(),
baseline_entropy(),
calculate_enrichment(),
calculate_entropy(),
collect_all_enrichment(),
collect_all_entropy(),
collect_history(),
collect_leaf_enrichment(),
collect_markers(),
convertToDataTree(),
convert_to_diagrammer(),
count_nodes(),
createGatingTreeObject(),
findNodeByPath(),
find_and_update_nodes(),
gating_entropy(),
general_node_rule(),
generate_marker_names(),
getNode(),
prune_tree(),
recursiveAddChildNode()
Examples
if (FALSE) { # \dontrun{
marker = "CD4"
state = c(1, 0, 2)
indices = 1:100
markers = c("CD4", "CD8")
entropy = 0.5
enrichment = 0.7
scores = data.frame(score=runif(3))
history = list()
depth = 1
usedmarkers = c("CD4")
path = "rootNode"
createChildNode(marker, state, indices, markers, entropy, enrichment, scores, scores, history, TRUE, depth, usedmarkers, path)
} # }