edgeR_multiclass: Estimate differential window counts and mark significantly...
In TeamMacLean/atacr: Analysing Capture Seq Count Data
Description
Estimate differential window counts and mark significantly different windows using edgeR glmFIT method for multiple samples with common control
Usage
1
2
edgeR_multiclass(data, common_control, which = "bait_windows",
sig_level = 0.05, remove.zeros = FALSE)
Arguments
data
an atacr object
which
the subset of windows to consider
sig_level
the p_value to consider significant
treatment_a
the first treatment to consider
treatment_b
the second treatment to consider
TeamMacLean/atacr documentation built on May 9, 2019, 4:24 p.m.
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Description
Estimate differential window counts and mark significantly different windows using edgeR glmFIT method for multiple samples with common control
Usage
1 2 | edgeR_multiclass(data, common_control, which = "bait_windows",
sig_level = 0.05, remove.zeros = FALSE)
|
Arguments
data |
an atacr object |
which |
the subset of windows to consider |
sig_level |
the p_value to consider significant |
treatment_a |
the first treatment to consider |
treatment_b |
the second treatment to consider |
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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