View source: R/hemibrain_locality.R
hemibrain_compartment_metrics | R Documentation |
Calculates/retrieves useful metrics for the axon and dendrites of a neuron, and its split.
hemibrain_compartment_metrics(
x,
resample = 10,
delta = 62.5,
locality = FALSE,
...
)
x |
a |
resample |
stepsize to which to resample neurons. If set to |
delta |
the distance at which a synapse might occur |
locality |
if TRUE |
... |
Additional arguments passed to methods or eventually to
|
a data.frame
of metrics broken down by putative axon and dendrite, and their overlap_locality scores
hemibrain_overlap_locality
# Choose neurons
## In this case some antennal lobe local neurons
al.local.neurons = c("1702323386", "2068966051", "2069311379", "1702305987", "5812996027",
"1702336197", "1793744512", "1976565858", "2007578510", "2101339904",
"5813003258", "2069647778", "1947192569", "1883788812", "1916485259",
"1887177026", "2101348562", "2132375072", "2256863785", "5813002313",
"5813054716", "5813018847", "5813055448", "1763037543", "2101391269",
"1794037618", "5813018729", "2013333009")
# use a smaller group in examples
al.local.neurons=al.local.neurons[1:5]
# Get neurons
neurons = neuprint_read_neurons(al.local.neurons)
# Convert to microns
neurons = hemibrainr::scale_neurons(neurons)
# Split
neurons = hemibrain_flow_centrality(neurons)
# Calculate overlap and other metrics
hcm = hemibrain_compartment_metrics(neurons,
resample = NULL,
just.leaves = TRUE, # just look how much the leaves of skeletons overlap, quicker (default)
delta = 5)
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