贝叶斯回归量化了从同热定位热量计中结合参数的不确定性,比错误传播更准确
1Department of Biology, Illinois Institute of Technology, Chicago, IL 60616, USA.
International journal of molecular sciences
|October 28, 2023
概括
贝叶斯可信区间为异热定位热量计数据提供比标准误差或误差传播方法更准确的绑定参数不确定性. 这些发现对于可靠的热力学分析至关重要.
科学领域:
- 生物物理化学 生物物理化学
- 热力学是一种热力学.
- 分析化学 分析化学
背景情况:
- 异热定位热量计 (ITC) 是确定约束参数的关键技术.
- 准确量化这些参数的不确定性对于可靠的科学结论至关重要.
- 现有的不确定性估计方法具有已知的局限性.
研究的目的:
- 为了比较不同方法的准确性,从ITC数据量化约束参数的不确定性.
- 评估非对称标准错误,错误传播和贝叶斯可信区间的性能.
- 通过模拟和实验ITC数据评估这些方法.
主要方法:
- 具有非对称标准误差的最大概率估计.
- 使用第一阶泰勒数列扩展的错误传播.
- 贝叶斯可信区间估计.贝叶斯可信区间估计.
主要成果:
- 非对称标准误差始终低估了结合的自由能量和度不确定性.
- 错误传播通常高估了不确定性,除了模拟的值数据的例外.
- 贝叶斯可信区间显示了与数据集中观察到的信任区间更接近的一致性.
结论:
- 贝叶斯可信区间为估计ITC约束参数的不确定性提供了更可靠的方法.
- 标准错误和错误传播方法可能导致对约束参数精度的评估不准确.
- 这些发现对分子相互作用中的热力学数据的解释有影响.
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