plotNullPrior: Plots distribution of null function and shows the threshold...
In baySeq: Empirical Bayesian analysis of patterns of differential expression in count data
Description
Usage
Arguments
Value
Author(s)
Description
In sequencing expression of various genomic events, it is not uncommon
to find a subset of genomic events that are qualitatively different
from the remainder of the data. Thus, for some function of the
estimated priors, we may observe bimodality or long tails which
correlate to this subset.
Usage
1
plotNullPrior(cD, ...)
Arguments
cD
A countData object with a '@nullFunction' slot in its '@densityFunction'.
...
Additional arguments to be passed to 'plot'
Value
Invisibly, the numeric value of the threshold.
Author(s)
Thomas J. Hardcastle
baySeq documentation built on Nov. 8, 2020, 5:43 p.m.
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Description Usage Arguments Value Author(s)
Description
In sequencing expression of various genomic events, it is not uncommon to find a subset of genomic events that are qualitatively different from the remainder of the data. Thus, for some function of the estimated priors, we may observe bimodality or long tails which correlate to this subset.
Usage
1 | plotNullPrior(cD, ...)
|
Arguments
cD |
A |
... |
Additional arguments to be passed to 'plot' |
Value
Invisibly, the numeric value of the threshold.
Author(s)
Thomas J. Hardcastle
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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