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DIME  

Differential Identification using Mixture Ensemble
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DIME", "1.3.0")



Attach the package and use:
library("DIME")
Maintained by
Cenny Taslim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-10-29
Latest Update: 2022-05-09
Description:
A robust identification of differential binding sites method for analyzing ChIP-seq (Chromatin Immunoprecipitation Sequencing) comparing two samples that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr) allowing for flexible modeling of data. Methods for Differential Identification using Mixture Ensemble (DIME) is described in: Taslim et al., (2011) .
How to cite:
Cenny Taslim (2012). DIME: Differential Identification using Mixture Ensemble. R package version 1.3.0, https://cran.r-project.org/web/packages/DIME. Accessed 06 Aug. 2026.
Previous versions and publish date:
1.0 (2012-10-29 08:56), 1.1 (2012-12-11 19:00), 1.2 (2013-12-09 23:08), (2026-07-09 08:01)
Other packages that cited DIME R package
View DIME citation profile
Other R packages that DIME depends, imports, suggests or enhances
Complete documentation for DIME
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