patternDistri: Probabilities of all upregulation patterns
In Lululuella/OVESEG: OVESEG-test to detect tissue/cell-specific markers
Description
Usage
Arguments
Details
Value
Examples
Description
This function estimates probabilities of all kinds of upregulation patterns
among subtypes.
Usage
1
patternDistri(ppnull)
Arguments
ppnull
a list returned by postProbNull or
OVESEGtest.
Details
The probability of each upregulation pattern is calculated by
accumulating and normalizing genewise posterior probability of null
hypotheses and of alternative hypotheses.
Value
a data frame object containing all possible upregulation patterns
and corresponding probabilities.
Examples
1
2
3
data(RocheBT)
ppnull <- postProbNull(RocheBT$y, RocheBT$group, alpha='moderated')
pd<- patternDistri(ppnull)
Lululuella/OVESEG documentation built on May 21, 2019, 2:28 a.m.
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Description Usage Arguments Details Value Examples
Description
This function estimates probabilities of all kinds of upregulation patterns among subtypes.
Usage
1 | patternDistri(ppnull)
|
Arguments
ppnull |
a list returned by |
Details
The probability of each upregulation pattern is calculated by accumulating and normalizing genewise posterior probability of null hypotheses and of alternative hypotheses.
Value
a data frame object containing all possible upregulation patterns and corresponding probabilities.
Examples
1 2 3 | data(RocheBT)
ppnull <- postProbNull(RocheBT$y, RocheBT$group, alpha='moderated')
pd<- patternDistri(ppnull)
|
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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