Package: DIME 1.3.0

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>.

Authors:Cenny Taslim <[email protected]>, with contributions from Dustin Potter, Abbasali Khalili and Shili Lin <[email protected]>.

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DIME/json (API)

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24 exports 3.11 score 0 dependencies 19 mentions 43 scripts 340 downloads

Last updated 2 years agofrom:4c34813ded. Checks:OK: 4 NOTE: 5. Indexed: yes.

Exports:DIMEDIME.classifyDIME.plot.fitgng.classifygng.fitgng.plot.compgng.plot.fitgng.plot.mixgng.plot.qqgng.qq.plot.internalhuberinudge.classifyinudge.fitinudge.plot.compinudge.plot.fitinudge.plot.mixinudge.plot.qqinudge.qq.plot.internalnudge.classifynudge.fitnudge.plot.compnudge.plot.fitnudge.plot.mixnudge.plot.qq

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