View source: R/methods_bundeling.R
bundle | R Documentation |
bundle
takes one or more GENOVA discovery
objects
and combines them along experiments.
bundle(..., collapse = "_")
## S3 method for class 'ARMLA_discovery'
bundle(..., collapse = "_")
## S3 method for class 'domainogram_discovery'
bundle(..., collapse = "_")
## S3 method for class 'IS_discovery'
bundle(..., collapse = "_")
## S3 method for class 'virtual4C_discovery'
bundle(..., collapse = "_")
## S3 method for class 'CS_discovery'
bundle(..., collapse = "_")
## S3 method for class 'saddle_discovery'
bundle(..., collapse = "_")
## S3 method for class 'RCP_discovery'
bundle(..., collapse = "_")
## S3 method for class 'DI_discovery'
bundle(..., collapse = "_")
## S3 method for class 'IIT_discovery'
bundle(..., collapse = "_")
## S3 method for class 'chrommat_discovery'
bundle(..., collapse = "_")
... |
A number of |
collapse |
An optional character string to seperate names in case the
experiment names are not unique. Not |
This function can be convenient when a the same analysis has been
run on a sequence of experiments with parameters specific to the
experiment. For example, consider the case when ATAs
have been run
on several single experiments with TAD boundary anchors that match that
same experiment. The bundle
function allows combining the resulting
discovery
objects for visualisation or quantification.
The arrays in slots of the discovery
objects need to have compatible
first and second dimensions, i.e. they must have had the same
'size_bp
' or 'size_bin
' arguments and have been run at the
same resolutions.
A discovery
-class object of the same type.
The discovery
class.
unbundle
for splitting discovery
objects.
## Not run:
# Running multiple analysis
ata1 <- ATA(WT_10kb, tads_wt)
ata2 <- ATA(KO_10kb, tads_ko)
# Combining results
cata <- bundle(WT = ata1, KO = ata2)
# Visualising the combined results
visualise(cata)
## End(Not run)
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