View source: R/braincircuits.R
flywire_dcvs | R Documentation |
Preliminary dense core vesicle (DCV) detection results from the Lee group, Stephan Gerhard and Minsu Kim.
flywire_dcvs(
rootid,
dataset = c("dcv.3.0", "dcv.2.0", "dcv.1.0"),
project = "fruitfly_fafb_flywire",
islatest = TRUE,
simplify = TRUE,
return = c("parsed", "text", "response"),
token = NULL,
simplifyVector = TRUE,
include_headers = FALSE,
OmitFailures = TRUE,
cl = NULL,
...
)
rootid |
flywire rootid/rootids |
dataset |
which DCV data set from Stephan Gerhard to access. 1.0 is just for the antennal lobes of FAFB. 2.0 is the first run at the whole brain. |
project |
from which project to pull data. At the moment, there is only one option for DCV data. |
islatest |
logical, whether or not to fetch the latest root_id if the given IDs are out of date. |
simplify |
logical, if |
return |
One of "parsed", "text" (for raw JSON), or "response" |
token |
Optional chunkedgraph token (otherwise the default one for the
current segmentation will be used). Use |
simplifyVector |
Whether to use |
include_headers |
Whether to include basic headers from the http request
as attributes on the parsed JSON object (default |
OmitFailures |
logical, if |
cl |
A cluster object created by |
... |
additional arguments passed to the |
A list, where the first entry contains DCV locations and the second the synapses for the given rootid, with the nearest DCV precalculated for each synapse..
braincircuits_login
## Not run:
# Just AL test data set
data = flywire_dcvs("720575940629166904", dataset = "dcv.1.0")
dcv = data$dcv
synapse = data$syns
# Whole brain data set
dcv = flywire_dcvs(c("720575940631973089","720575940629166904"), dataset = "dcv.2.0")
## End(Not run)
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