离子通道记录的非均匀理想化--开放通道噪声
Heterogeneous Idealization of Ion Channel Recordings -- Open Channel Noise
摘要：
我们提出了一种新的无模型分割方法理想化离子通道记录。该方法是针对测量误差的不均匀性而设计的。这特别适用于明渠噪声，一般来说，这是特别难以应付的无模型方法。我们的方法能够处理低通滤波的数据，这提供了进一步的计算挑战。为此，我们提出了一种多分辨率测试方法，结合局部反卷积来解决低通滤波器。仿真和统计理论证实，所提出的理想化恢复的基础信号非常准确地存在的异构噪声，即使当事件短于滤波器的长度。该方法相比，现有的方法在计算机实验和真实数据。我们发现，它是唯一一个允许识别开口的PorB porine在两个不同的时间尺度。一个实现作为R包提供。
英文摘要：
We propose a new model-free segmentation method for idealizing ion channel recordings. This method is designed to deal with heterogeneity of measurement errors. This in particular applies to open channel noise which, in general, is particularly difficult to cope with for model-free approaches. Our methodology is able to deal with lowpass filtered data which provides a further computational challenge. To this end we propose a multiresolution testing approach, combined with local deconvolution to resolve the lowpass filter. Simulations and statistical theory confirm that the proposed idealization recovers the underlying signal very accurately at presence of heterogeneous noise, even when events are shorter than the filter length. The method is compared to existing approaches in computer experiments and on real data. We find that it is the only one which allows to identify openings of the PorB porine at two different temporal scales. An implementation is available as an R package.
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