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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.