CorrectSize: bin size correction
In FeiQin92/FLCNA: Simultaneous CNV Detection And Subclone Clustering With Single Cell Sequencing Data
View source: R/FLCNA_normalization.R
CorrectSize R Documentation
bin size correction
Description
Normalization according to bin size. Since bin size is consistant in all the markers, bin size will not affect normalization results in this study.
Normalization according to bin size. Since bin size is consistant in all the markers, bin size will not affect normalization results in this study.
Usage
CorrectSize(RC, L, step)
CorrectSize(RC, L, step)
Arguments
RC
A P-dimensional data vector. The read counts for a sample.
L
The bin size used in the data the default is 100,000.
step
Step value, a constant, used in the bin size correlation procedure.
Value
The output bin size correlation.
The output bin size correlation.
FeiQin92/FLCNA documentation built on Nov. 27, 2024, 3:36 a.m.
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View source: R/FLCNA_normalization.R
| CorrectSize | R Documentation |
bin size correction
Description
Normalization according to bin size. Since bin size is consistant in all the markers, bin size will not affect normalization results in this study.
Normalization according to bin size. Since bin size is consistant in all the markers, bin size will not affect normalization results in this study.
Usage
CorrectSize(RC, L, step)
CorrectSize(RC, L, step)
Arguments
RC |
A P-dimensional data vector. The read counts for a sample. |
L |
The bin size used in the data the default is 100,000. |
step |
Step value, a constant, used in the bin size correlation procedure. |
Value
The output bin size correlation.
The output bin size correlation.
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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