1.3.2版更改-导出函数estimateTransitionProb来从马尔可夫链的状态序列中估计转移概率- 1.2.1版更改-修复了输出路径以'.'处理路径的错误版本1.2.0的变化- epigraHMM在Bioconductor上的第二个版本。1.0.7版更改-导出maxStepProb，它计算k状态HMM的初始和转换概率的MLE，以及simulateMarkovChain，它模拟一个长度为“n”的马尔可夫链，给定一个转换概率矩阵。1.0.6版更改- controlm文档中的小错误修复。1.0.5版更改- callPatterns和info函数中的小错误修复(显式导入S4Vectors::mcols和utils::tail)。-导出expStep函数，用于实现k状态HMM的EM算法(前后向和Viterbi算法)的E-step。1.0.4版更改-添加函数callPatterns到与给定基因组区域集相关的组合模式(或后验概率)的exp[ort]。-增加函数info从epigraHMM输出输出汇总统计。该函数将打印模型的BIC、对数似然和与混合模型组件相关的组合模式。-从广泛的表观基因组标记H3K27me3, H3K36me3和EZH2中添加新的编码ChIP-seq数据示例数据集helas3。-增加选项修剪组合模式与罕见状态。 See vignette for details. - In differential peak calling, epigraHMM now exports combinatorial pattern table. See vignette for details. - Improvement of the vignette to clarify epigraHMM's use of blacklisted regions and gap tracks. Changes in version 1.0.3 - Minor updates in the NEWS file as well as the README page. Changes in version 1.0.2 - epigraHMM now exports a function called segmentGenome that segments a given genome (e.g. 'mm10') into non-overlapping genomic windows while considering gap tracks and blacklisted regions. Changes in version 1.0.1 - Minor fix in the package DESCRIPTION file and version numbers Changes in version 1.0.0 - First release of epigraHMM on Bioconductor. - It is now possible to add normalizing offsets via addOffsets. - epigraHMM now uses hdf5 files to store all intermediate data during computation of the EM algorithm. Intermediate data include window-based HMM and mixture model posterior probabilities, and forward-backward probabilities. This change leads to a better memory utilization of the package.