Fetch fractional overlap for each neuropil for all images in BrainBase

Fetch fractional overlap for each neuropil for all images in BrainBase

neuropil_overlaps(nps, raw = FALSE, normalised_by = c("neuropil",
  "staining"))

Arguments

nps	The neuropils to fetch, specified either as integer ids or as the character vector abbreviated neuropil name (see neuropils in both cases. The special values of "brain" and "vnc" imply all brain or vnc neuropils, respectively.
raw	Whether to return the raw httr result
normalised_by	How to normalise the results. This denominator can either be the total number of voxels in each neuropil region or the total amount of staining in the whole expression pattern.

Value

processed data.frame with columns

• imgId Integer image id

• name Image name

• ... additional columns expressing the fraction of each neuropil domain occupied by foreground voxels and titled with the abbreviated neuropil names.

See also

The neuropils data.frame contains details of the different neuropil regions.

Examples

x=neuropil_overlaps(1152)
y=neuropil_overlaps(1152, normalised_by="staining")
# NOT RUN {
r=neuropil_overlaps(1152, raw=TRUE)
json_content=content(r)

all_brain=neuropil_overlaps('brain')
all_vnc=neuropil_overlaps('vnc')
# }