bayes: Threshold-free Bayesian differential analysis
In CAMO-R/Rpackage: Perform cross-species resemblance analysis
bayes R Documentation
Threshold-free Bayesian differential analysis
Description
The bayes is function to run Bayesian differential analysis for a single study.
Usage
bayes(pData, seed = 12345)
Arguments
pData:
a matrix consist of two columns where first being the p-values and second being the log fold changes.
seed:
seed number.
Value
an MCMC output matrix of signed DE indicator (input for
congruence analysis)
Examples
## Not run:
data(hb)
summaryDE = indDE(data=data,group=as.factor(group),data.type="microarray",
case.label="2", ctrl.label="1")
hb_pData = summaryDE[,c(3,1)]
hb_MCMCout = bayes(hb_pData, seed=12345)
## End(Not run)
CAMO-R/Rpackage documentation built on July 20, 2023, 6:04 a.m.
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| bayes | R Documentation |
Threshold-free Bayesian differential analysis
Description
The bayes is function to run Bayesian differential analysis for a single study.
Usage
bayes(pData, seed = 12345)
Arguments
pData: |
a matrix consist of two columns where first being the p-values and second being the log fold changes. |
seed: |
seed number. |
Value
an MCMC output matrix of signed DE indicator (input for congruence analysis)
Examples
## Not run:
data(hb)
summaryDE = indDE(data=data,group=as.factor(group),data.type="microarray",
case.label="2", ctrl.label="1")
hb_pData = summaryDE[,c(3,1)]
hb_MCMCout = bayes(hb_pData, seed=12345)
## End(Not run)
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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