SelectSamplesFromROI: SelectSamplesFromROI
In mbertalan/iPsychCNV: iPsychCNV
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
SelectSamplesFromROI: Select region of interest based on the samples.
Usage
1
2
SelectSamplesFromROI(DF, roi, OverlapMin = 0.8, OverlapMax = 1.2,
Cores = 1)
Arguments
DF:
Data frame with predicted CNVs for each sample.
Roi:
Regions Of Interest or hotspots.
OverlapMin:
Minimum overlap a CNV need to have with the hotspot to be selected, default = 0.8.
OverlapMax:
Maximum overlap accepted for a CNV and a hotspots, default = 1.2.
Details
Given hotspots regions and overlap cutoff it will return CNVs that belong to each hotspot.
Value
Data frame with predicted CNVs that belong to each hotspot.
Author(s)
Marcelo Bertalan, Louise K. Hoeffding.
Examples
1
cnvs <- SelectSamplesFromROI(DF=Hotspots, roi=roi, OverlapMin=0.8, OverlapMax=1.2)
mbertalan/iPsychCNV documentation built on May 22, 2019, 12:19 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
SelectSamplesFromROI: Select region of interest based on the samples.
Usage
1 2 | SelectSamplesFromROI(DF, roi, OverlapMin = 0.8, OverlapMax = 1.2,
Cores = 1)
|
Arguments
DF: |
Data frame with predicted CNVs for each sample. |
Roi: |
Regions Of Interest or hotspots. |
OverlapMin: |
Minimum overlap a CNV need to have with the hotspot to be selected, default = 0.8. |
OverlapMax: |
Maximum overlap accepted for a CNV and a hotspots, default = 1.2. |
Details
Given hotspots regions and overlap cutoff it will return CNVs that belong to each hotspot.
Value
Data frame with predicted CNVs that belong to each hotspot.
Author(s)
Marcelo Bertalan, Louise K. Hoeffding.
Examples
1 | cnvs <- SelectSamplesFromROI(DF=Hotspots, roi=roi, OverlapMin=0.8, OverlapMax=1.2)
|
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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