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DMRMark  

DMR Detection by Non-Homogeneous Hidden Markov Model from Methylation Array Data
View on CRAN: Click here


Download and install DMRMark package within the R console
Install from CRAN:
install.packages("DMRMark")

Install from Github:
library("remotes")
install_github("cran/DMRMark")

Install by package version:
library("remotes")
install_version("DMRMark", "1.1.1")



Attach the package and use:
library("DMRMark")
Maintained by
Linghao SHEN
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-04
Latest Update:
Description:
Perform differential analysis for methylation array data. Detect differentially methylated regions (DMRs) from array M-values. The core is a Non-homogeneous Hidden Markov Model for estimating spatial correlation and a novel Constrained Gaussian Mixture Model for modeling the M-value pairs of each individual locus.
How to cite:
Linghao SHEN (2016). DMRMark: DMR Detection by Non-Homogeneous Hidden Markov Model from Methylation Array Data. R package version 1.1.1, https://cran.r-project.org/web/packages/DMRMark. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0 (2016-09-04 20:14), 1.1.0 (2017-02-25 15:57), 1.1.1 (2017-04-21 19:58)
Other packages that cited DMRMark R package
View DMRMark citation profile
Other R packages that DMRMark depends, imports, suggests or enhances
Functions, R codes and Examples using the DMRMark R package
Some associated functions: BLCA . DMRMark-package . DMRMark . DMRViterbi . FullSample . MakeGSoptions . boundFinder . mvScatter . reformData . 
Some associated R codes: DMRMark.R . DMRMark_utils.R . DMRViterbi.R . FullSampler.R . MakeGSoptions.R . boundFinder.R . mvScatter.R . reformData.R .  Full DMRMark package functions and examples
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