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DIME: Differential Identification using Mixture Ensemble
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) <doi:10.1093/bioinformatics/btr165>.
Getting started
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Package details |
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| Author | Cenny Taslim <taslim.2@osu.edu>, with contributions from Dustin Potter, Abbasali Khalili and Shili Lin <shili@stat.osu.edu>. |
| Maintainer | Cenny Taslim <taslim.2@osu.edu> |
| License | GPL (>= 2) |
| Version | 1.3.0 |
| Package repository | View on CRAN |
| Installation |
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