downSampleW: Weighted subtraction from mapped reades
In pcahan1/cancerCellNet: CellNet, for cancer
View source: R/weighted_down.R
downSampleW R Documentation
Weighted subtraction from mapped reades
Description
Simulate expression profile of _total_ mapped reads as a way to normalize the counts
Usage
downSampleW(vector, total = 1e+05, dThresh = 0)
Arguments
vector
a vector of total mapped reads per gene/transcript
total
the sum of the read counts after transformation
dThresh
the threshold at which anything lower is 0 after transformation. Usually 0
Value
vector of downsampled read mapped to genes/transcripts
pcahan1/cancerCellNet documentation built on July 16, 2022, 12:12 a.m.
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View source: R/weighted_down.R
| downSampleW | R Documentation |
Weighted subtraction from mapped reades
Description
Simulate expression profile of _total_ mapped reads as a way to normalize the counts
Usage
downSampleW(vector, total = 1e+05, dThresh = 0)
Arguments
vector |
a vector of total mapped reads per gene/transcript |
total |
the sum of the read counts after transformation |
dThresh |
the threshold at which anything lower is 0 after transformation. Usually 0 |
Value
vector of downsampled read mapped to genes/transcripts
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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