cnvr_fast: Compute Copy Number Variable Regions (CNVRs)
In SinomeM/QCtreeCNV: Reducing the visual inspection effort in CNV calling
View source: R/computeCNVRs_fast.R
cnvr_fast R Documentation
Compute Copy Number Variable Regions (CNVRs)
Description
Faster CNVRs computation algorithm
Usage
cnvr_fast(put_cnvs)
Arguments
cnvs
lorem ipsum
chr_arms
lorem ipsum
final_merge
lorem ipsum
Details
It is based on pamk clustering algorithm. It is a much simpler process that
takes advantage of the fact that this package is meant to deal only with groups
of calls overlapping a specific locus.
Value
a list of two elements. The first element is a data.table
that contains the actual CNVR information, genomic location and frequency in
the cohort. The second element is the CNVresults
SinomeM/QCtreeCNV documentation built on Dec. 5, 2023, 4:06 p.m.
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View source: R/computeCNVRs_fast.R
| cnvr_fast | R Documentation |
Compute Copy Number Variable Regions (CNVRs)
Description
Faster CNVRs computation algorithm
Usage
cnvr_fast(put_cnvs)
Arguments
cnvs |
lorem ipsum |
chr_arms |
lorem ipsum |
final_merge |
lorem ipsum |
Details
It is based on pamk clustering algorithm. It is a much simpler process that takes advantage of the fact that this package is meant to deal only with groups of calls overlapping a specific locus.
Value
a list of two elements. The first element is a data.table
that contains the actual CNVR information, genomic location and frequency in
the cohort. The second element is the CNVresults
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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