DMCFB-package: Differentially Methylated cytosines using funtional Bayesian...
In shokoohi/DMCFB: Differentially Methylated Cytosines via a Bayesian Functional Approach
DMCFB-package R Documentation
Differentially Methylated cytosines using funtional Bayesian
regression models
Description
DMCFB is a profiling tool for identifying differentially
methylated cytosines using Functional Bayesian Model in bisulfite sequencing
data.
DMCFB methods
findDMCFB,
plotDMCFB,
cBSDMC,
readBismark.
BSDMC objects
BSDMC-class
shokoohi/DMCFB documentation built on April 21, 2022, 5:53 a.m.
R Package Documentation
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| DMCFB-package | R Documentation |
Differentially Methylated cytosines using funtional Bayesian regression models
Description
DMCFB is a profiling tool for identifying differentially methylated cytosines using Functional Bayesian Model in bisulfite sequencing data.
DMCFB methods
findDMCFB,
plotDMCFB,
cBSDMC,
readBismark.
BSDMC objects
BSDMC-class
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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