CircaCompare: a method to estimate and statistically support differences in mesor, amplitude and phase, between circadian rhythms
CircaCompare: a method to estimate and statistically support differences in mesor, amplitude and phase, between circadian rhythms
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DOI：
10.1093/bioinformatics/btz730
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发表时间：
2020-02-15
期刊：
影响因子：
5.8
通讯作者：
Rawashdeh, Oliver
中科院分区：
文献类型：
--
作者：
Parsons, Rex;Parsons, Richard;Rawashdeh, Oliver
动机：时间生物学的基本兴趣是比较不同节奏数据组之间的模式。然而，许多现有的方法是装备不良，以获得有关的统计意义的差异之间的节奏，可能是视觉上明显的声明。这是由于使用的数据（纵向与横截面）的形式和使用的统计检验的局限性，以得出conclusion.Results：为了解决这个问题，我们建议使用一个余弦曲线与一个特定的参数化模型和比较数据的两组观测收集在24小时内。我们测试的新奇在于参数化，它允许明确估计节奏参数[mesor（波函数振荡的响应变量的节奏调整平均水平），振幅和相位]，并同时测试两组或多组数据集之间所有三个参数的统计显著性。关于这些节律参数中的每一个，两组之间的统计学显著差异由P值指示。通过将该模型应用于公开可用的数据集来评估该方法，并通过与目前推荐的方法DODR进行比较来进一步举例说明。结果表明，所提出的方法可能是高度敏感的检测组之间的相位，幅度和mesor的节奏差异。
Motivation: fundamental interest in chronobiology is to compare patterns between groups of rhythmic data. However, many existing methods are ill-equipped to derive statements concerning the statistical significance of differences between rhythms that may be visually apparent. This is attributed to both the form of data used (longitudinal versus cross-sectional) and the limitations of the statistical tests used to draw conclusions.Results: To address this problem, we propose that a cosinusoidal curve with a particular parametrization be used to model and compare data of two sets of observations collected over a 24-h period. The novelty of our test is in the parametrization, which allows the explicit estimation of rhythmic parameters [mesor (the rhythm-adjusted mean level of a response variable around which a wave function oscillates), amplitude and phase], and simultaneously testing for statistical significance in all three parameters between two or more groups of datasets. A statistically significant difference between two groups, regarding each of these rhythmic parameters, is indicated by a P-value. The method is evaluated by applying the model to publicly available datasets, and is further exemplified by comparison to the currently recommended method, DODR. The results suggest that the method proposed may be highly sensitive to detect rhythmic differences between groups in phase, amplitude and mesor.