View source: R/getATACABsignal.R
getATACABsignal | R Documentation |
getATACABsignal
returns estimated A/B compartments from ATAC-seq data.
getATACABsignal(
obj,
res = 1e+06,
parallel = FALSE,
chr = NULL,
targets = NULL,
cores = 2,
bootstrap = TRUE,
num.bootstraps = 100,
genome = c("hg19", "hg38", "mm9", "mm10"),
other = NULL,
group = FALSE,
boot.parallel = FALSE,
boot.cores = 2
)
getRNAABsignal(
obj,
res = 1e+06,
parallel = FALSE,
chr = NULL,
targets = NULL,
cores = 2,
bootstrap = TRUE,
num.bootstraps = 100,
genome = c("hg19", "hg38", "mm9", "mm10"),
other = NULL,
group = FALSE,
boot.parallel = FALSE,
boot.cores = 2
)
obj |
Input SummarizedExperiment object |
res |
Compartment resolution in bp |
parallel |
Whether to run samples in parallel |
chr |
What chromosome to work on (leave as NULL to run on all chromosomes) |
targets |
Samples/cells to shrink towards |
cores |
How many cores to use when running samples in parallel |
bootstrap |
Whether we should perform bootstrapping of inferred compartments |
num.bootstraps |
How many bootstraps to run |
genome |
What genome to work on ("hg19", "hg38", "mm9", "mm10") |
other |
Another arbitrary genome to compute compartments on |
group |
Whether to treat this as a group set of samples |
boot.parallel |
Whether to run the bootstrapping in parallel |
boot.cores |
How many cores to use for the bootstrapping |
A RaggedExperiment of inferred compartments
getRNAABsignal
: Alias for getATACABsignal
data("k562_scatac_chr14", package = "compartmap")
atac_compartments <- getATACABsignal(k562_scatac_chr14, parallel=FALSE, chr="chr14", bootstrap=FALSE, genome="hg19", group = TRUE)
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