Plot cosine clustering of neuprint/hemibrain neurons
Query ids. May including searches in the style of
neuprint_ids
Whether to cluster based on connections to input or output partner neurons (default both).
An integer threshold (connections >= this will be returned)
The cluster method to use (see hclust
)
Whether to group by cell type
or another named column.
A vector defining the row labels. If it is a character vector
length 1 containing any curly braces it will be interpreted as a
glue
string for interpolation, using the data.frame returned
by neuprint_get_meta
as a source of information.
A logical indicating whether or not to plot the heatmap
OR a function to plot the heatmap whose argument names are
compatible with stats::heatmap
. gplots::heatmap.2
is a
good example. Defaults to TRUE
therefore plotting the full heatmap
with stats::heatmap
.
Whether to plot an interactive heatmap (allowing zooming and id selection). See details.
What to do with entries that have NAs. Default is to set them to 0 similarity.
optional, a neuprintr connection object, which also specifies the
neuPrint server. If NULL, the defaults set in your
.Rprofile
or .Renviron
are
used. See neuprint_login
for details.
Additional arguments passed to heatmap
The result of heatmap
invisibly including the row and
column dendrograms or, when heatmap=FALSE
, a
stats::hclust
object.
Note that when interactive=TRUE
you must have external
packages including InteractiveComplexHeatmap
installed with the
coconat
package. If you are using Rstudio, we recommend using an
external browser (e.g. Chrome) rather than the built-in browser, especially
for larger heatmaps.
# \donttest{
neuprint_cosine_plot("/DA[1-3].*PN", partners='in')
#>
#> Call:
#> hclust(d = as.dist(1 - x), method = method)
#>
#> Cluster method : ward.D
#> Number of objects: 17
#>
# }
if (FALSE) { # \dontrun{
# Considering all partners
neuprint_cosine_matrix("/lLN2.+", partners='in') %>% neuprint_cosine_plot()
# excluding the PN partners from the cosine distance score
neuprint_cosine_matrix("/lLN2.+", !grepl("PN",type), partners='in') %>% neuprint_cosine_plot()
# just use PN partners for cosine distance score
neuprint_cosine_matrix("/lLN2.+", grepl("PN",type), partners='in') %>% neuprint_cosine_plot()
# interactive heatmap allowing zooming and id selection
neuprint_cosine_plot("/lLN2.+", partners='out', interactive=TRUE)
} # }