hic_scale: Perform library scaling on a hicexp object
In dozmorovlab/multiHiCcompare: Normalize and detect differences between Hi-C datasets when replicates of each experimental condition are available
View source: R/library_scaling.R
hic_scale R Documentation
Perform library scaling on a hicexp object
Description
Perform library scaling on a hicexp object
Usage
hic_scale(hicexp)
Arguments
hicexp
A hicexp object.
Details
This function will perform library scaling
on a hicexp object. Scaling is performed
separately for each chromosome. This is an
alternative normalization method to the
cyclic loess and fastlo methods also
provided in multiHiCcompare. Use this normalization
method if for some reason you do not want to remove
trends in the data and only want to normalize based
on library size.
Value
A hicexp object.
Examples
data("hicexp2")
hicexp2 <- hic_scale(hicexp2)
dozmorovlab/multiHiCcompare documentation built on April 23, 2022, 9:56 a.m.
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View source: R/library_scaling.R
| hic_scale | R Documentation |
Perform library scaling on a hicexp object
Description
Perform library scaling on a hicexp object
Usage
hic_scale(hicexp)
Arguments
hicexp |
A hicexp object. |
Details
This function will perform library scaling on a hicexp object. Scaling is performed separately for each chromosome. This is an alternative normalization method to the cyclic loess and fastlo methods also provided in multiHiCcompare. Use this normalization method if for some reason you do not want to remove trends in the data and only want to normalize based on library size.
Value
A hicexp object.
Examples
data("hicexp2")
hicexp2 <- hic_scale(hicexp2)
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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