calc_threshold_DA: Threshold to generate calls on differentially abundant...
In kimberlyroche/codaDE: What the Package Does in One 'Title Case' Line
calc_threshold_DA R Documentation
Threshold to generate calls on differentially abundant features
Description
Threshold to generate calls on differentially abundant features
Usage
calc_threshold_DA(counts, fc_lower = 0.5, fc_upper = 1.5, nA = NULL)
Arguments
counts
abundance data set (samples x features)
fc_lower
a lower threshold on fold change; smaller than this and
observed change will be recorded as "differential"
fc_upper
an upper threshold on fold change; larger than this and
observed change will be recorded as "differential"
nA
optional parameter specifying the number of samples in condition A
Value
differential calls in the form of faux p-values (0 for differential,
1 for not differential)
kimberlyroche/codaDE documentation built on May 11, 2022, 12:40 a.m.
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| calc_threshold_DA | R Documentation |
Threshold to generate calls on differentially abundant features
Description
Threshold to generate calls on differentially abundant features
Usage
calc_threshold_DA(counts, fc_lower = 0.5, fc_upper = 1.5, nA = NULL)
Arguments
counts |
abundance data set (samples x features) |
fc_lower |
a lower threshold on fold change; smaller than this and observed change will be recorded as "differential" |
fc_upper |
an upper threshold on fold change; larger than this and observed change will be recorded as "differential" |
nA |
optional parameter specifying the number of samples in condition A |
Value
differential calls in the form of faux p-values (0 for differential, 1 for not differential)
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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