normalize_library_depth_relative: normalize_library_depth_relative
In alex-kalinka-cruk/fgcQC: QC metric calculations for CRISPR screen data produced at the FGC
Description
Usage
Arguments
Value
Author(s)
View source: R/normalize_library_depth_relative.R
Description
Normalizes library depth from a counts file by dividing the counts of each sample by its total and multiplying all samples by a constant total number of reads.
Usage
1
normalize_library_depth_relative(counts, norm_total)
Arguments
counts
A data frame of counts for each sample in the study (samples as columns, gRNAs as rows).
norm_total
An integer specifying the fixed total number of reads each sample will be set to (e.g. 2e7). If 'NULL', then the median total across the samples is used.
Value
A data frame in which the sample columns are library-depth normalized.
Author(s)
Alex T. Kalinka, alex.kalinka@cancer.org.uk
alex-kalinka-cruk/fgcQC documentation built on June 23, 2020, 9:05 p.m.
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Description Usage Arguments Value Author(s)
View source: R/normalize_library_depth_relative.R
Description
Normalizes library depth from a counts file by dividing the counts of each sample by its total and multiplying all samples by a constant total number of reads.
Usage
1 | normalize_library_depth_relative(counts, norm_total)
|
Arguments
counts |
A data frame of counts for each sample in the study (samples as columns, gRNAs as rows). |
norm_total |
An integer specifying the fixed total number of reads each sample will be set to (e.g. 2e7). If 'NULL', then the median total across the samples is used. |
Value
A data frame in which the sample columns are library-depth normalized.
Author(s)
Alex T. Kalinka, alex.kalinka@cancer.org.uk
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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