PREdator: a python based GUI for data analysis, evaluation and fitting

Christoph Wiedemann; Peter Bellstedt; Matthias G?rlach

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PREdator: a python based GUI for data analysis, evaluation and fitting

机译：PREdator：基于python的GUI，用于数据分析，评估和拟合

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The analysis of a series of experimental data is an essential procedure in virtually every field of research. The information contained in the data is extracted by fitting the experimental data to a mathematical model. The type of the mathematical model (linear, exponential, logarithmic, etc.) reflects the physical laws that underlie the experimental data. Here, we aim to provide a readily accessible, user-friendly python script for data analysis, evaluation and fitting. PREdator is presented at the example of NMR paramagnetic relaxation enhancement analysis.

机译：在几乎每个研究领域中，一系列实验数据的分析都是必不可少的步骤。通过将实验数据拟合为数学模型来提取数据中包含的信息。数学模型的类型（线性，指数，对数等）反映了构成实验数据的物理定律。在这里，我们旨在提供一个易于访问，用户友好的python脚本，用于数据分析，评估和拟合。在NMR顺磁弛豫增强分析的示例中介绍了PREdator。

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《Source Code for Biology Medicine》 |2014年第3期|共页
作者
Christoph Wiedemann; Peter Bellstedt; Matthias G?rlach;
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中图分类细胞生物化学;
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PREdator: a python based GUI for data analysis, evaluation and fitting

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