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Detect differentially methylated regions using non-homogeneous hidden Markov model for methylation array data

机译:使用非均质隐马尔可夫模型检测差异甲基化区域,用于甲基化阵列数据

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Motivation: DNA methylation is an important epigenetic mechanism in gene regulation and the detection of differentially methylated regions (DMRs) is enthralling for many disease studies. There are several aspects that we can improve over existing DMR detection methods: (i) methylation statuses of nearby CpG sites are highly correlated, but this fact has seldom been modelled rigorously due to the uneven spacing; (ii) it is practically important to be able to handle both paired and unpaired samples; and (iii) the capability to detect DMRs from a single pair of samples is demanded.
机译:动机:DNA甲基化是基因调控中的重要表观遗传机制,并且差异甲基化区域(DMRS)的检测是令人振奋的许多疾病研究。 有几个方面可以改善现有的DMR检测方法:(i)附近CPG站点的甲基化状态高度相关,但由于间距不均匀,这一事实很少被严格地模拟; (ii)能够处理配对和未配对的样本实际上是很重要的; (iii)要求从一对样品中检测到DMRS的能力。

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