window_jaccard_df: Compute jaccard similarity values based on window overlaps in...
In AllenInstitute/lowcat: Low Coverage Accessibility and Transcriptomics
Description
Usage
Arguments
Value
Description
Compute jaccard similarity values based on window overlaps in parallel.
Usage
1
2
window_jaccard_df(window_list, n_cores = "auto",
cluster_type = "PSOCK")
Arguments
n_cores
The number of cores to use in parallel. Use "auto" to detect and use all cores. Default is 6.
cluster_type
Either "PSOCK" (for Windows) or "FORK" (possible on Linux and Mac). FORK is more memory-efficient.
fragment_list
The list object containing genomic windows.
Value
a list of GenomicRanges objects
AllenInstitute/lowcat documentation built on Oct. 30, 2019, 4:45 a.m.
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Description Usage Arguments Value
Description
Compute jaccard similarity values based on window overlaps in parallel.
Usage
1 2 | window_jaccard_df(window_list, n_cores = "auto",
cluster_type = "PSOCK")
|
Arguments
n_cores |
The number of cores to use in parallel. Use "auto" to detect and use all cores. Default is 6. |
cluster_type |
Either "PSOCK" (for Windows) or "FORK" (possible on Linux and Mac). FORK is more memory-efficient. |
fragment_list |
The list object containing genomic windows. |
Value
a list of GenomicRanges objects
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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