norm.scale.n.yield: Normalize and compute yield
In EmmaDann/hexamerModel: Tools for modelling random hexamer primer binding
Description
Usage
Arguments
Value
View source: R/compare_peaks.r
Description
Computes ratio between area under the curve in region of interest and outside of region of interest
(sample of the same bps of the region of interest) after normalization and scaling to have no coverage values < 0
Usage
1
norm.scale.n.yield(raw.track, roi.track, scale.by = 5)
Arguments
raw.track
GRanges object with values for predicted coverage of best batch (best) and random batch (even)
roi.track
GRanges object of regions of interest
scale.by
scaling fator to add to each coverage value to have all > 0
Value
score for coverage yield
EmmaDann/hexamerModel documentation built on May 5, 2019, 4:48 p.m.
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Description Usage Arguments Value
View source: R/compare_peaks.r
Description
Computes ratio between area under the curve in region of interest and outside of region of interest (sample of the same bps of the region of interest) after normalization and scaling to have no coverage values < 0
Usage
1 | norm.scale.n.yield(raw.track, roi.track, scale.by = 5)
|
Arguments
raw.track |
GRanges object with values for predicted coverage of best batch (best) and random batch (even) |
roi.track |
GRanges object of regions of interest |
scale.by |
scaling fator to add to each coverage value to have all > 0 |
Value
score for coverage yield
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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