A Bayesian Graphical Model for ChIP-Seq Data on Histone Modifications
组蛋白修饰 ChIP-Seq 数据的贝叶斯图模型
Histone modifications (HMs) are an important post-translational feature. Different types of HMs are believed to co-exist and co-regulate biological processes such as gene expression and, therefore, are intrinsically dependent on each other. We develop inference for this complex biological network of HMs based on a graphical model using ChIP-Seq data. A critical computational hurdle in the inference for the proposed graphical model is the evaluation of a normalization…