Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Summary: Differential Identification using Mixtures Ensemble (DIME) is a package for identification of biologically significant differential binding sites beten two conditions using ChIP-seq data. It considers a collection of finite mixture models combined with a false discovery rate (FDR) criterion to find statistically significant regions. This leads to a more reliable assessment of differential binding sites based on a statistical approach. In addition to ChIP-seq, DIME is also applicable to data from other high-throughput platforms.#R##N##R##N#Availability and implementation: DIME is implemented as an R-package, which is available at http://www.stat.osu.edu/~statgen/SOFTWARE/DIME. It may also be downloaded from http://cran.r-project.org/b/packages/DIME/.#R##N##R##N#Contact: ude.uso.tats@ilihs
['Cenny Taslim', 'Tim Hui-Ming Huang', 'Shili Lin']
I am writing a research paper on a idea DIME: R-package for Identifying Differential ChIP-seq Based on an Ensemble of Mixture Models
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