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相关概念视频

Microsoft Excel: Pearson's Correlation01:18

Microsoft Excel: Pearson's Correlation

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Microsoft Excel is a powerful tool for statistical analysis, including calculating Pearson's correlation coefficient, which measures the strength and direction of a linear relationship between two continuous variables. Pearson's correlation coefficient, often denoted as "r," ranges from -1 to 1. A value close to 1 indicates a strong positive correlation, meaning as one variable increases, the other does too. A value close to -1 indicates a strong negative correlation, implying...
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P-value01:10

P-value

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P-value is one of the most crucial concepts in statistics.
P-value stands for the probability value.  P-value is the probability that, if the null hypothesis is true, the results from another randomly selected sample will be as extreme or more extreme as the results obtained from the given sample.
A large P-value calculated from the data indicates to  not reject the null hypothesis. But a higher P-value does not mean that the null hypothesis is true. The smaller the P-value, the more...
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Decision Making: P-value Method01:09

Decision Making: P-value Method

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim  is also stated. These statements can act as null and alternative hypotheses:  a null hypothesis would be a neutral statement while the alternative hypothesis can...
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2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

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Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
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Calculating and Interpreting the Linear Correlation Coefficient01:11

Calculating and Interpreting the Linear Correlation Coefficient

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The correlation coefficient, r, developed by Karl Pearson in the early 1900s, is numerical and provides a measure of strength and direction of the linear association between the independent variable, x, and the dependent variable, y. Hence, it is also known as the Pearson product-moment correlation coefficient. It can be calculated using the following equation:
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2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)01:19

2D NMR: Heteronuclear Single-Quantum Correlation Spectroscopy (HSQC)

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Heteronuclear single-quantum correlation spectroscopy (HSQC) is a 2D NMR technique that reveals one-bond correlations between hydrogen and a heteronucleus. The HSQC experiment is similar to the heteronuclear correlation experiment (HETCOR) but is more sensitive. In the HSQC spectrum, the proton chemical shift is plotted on the horizontal F2 axis, while the 13C chemical shift is plotted on the vertical F1 axis. The corresponding proton and 13C spectra are also shown. The HSQC contour plot does...
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The ChroP Approach Combines ChIP and Mass Spectrometry to Dissect Locus-specific Proteomic Landscapes of Chromatin
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对高分辨率MS/MS数据的XCorr评分进行精确的p值计算.

Kishankumar Bhimani1, Arina Peresadina1, Dmitrii Vozniuk1

  • 1Laboratory on AI for Computational Biology, Faculty of Computer Science, HSE University, Moscow, Russian Federation.

Proteomics
|September 19, 2023
PubMed
概括

高分辨率精确p值 (HR-XPV) 方法改善了质谱学中的谱匹配得分. 这种方法准确地从高分辨率数据中校准得分,从而产生更可靠的频谱注释.

科学领域:

  • 蛋白质组学是指蛋白质组学.
  • 质谱测量质量谱测量
  • 计算生物学 计算生物学

背景情况:

  • 谱匹配 (PSM) 评分对于在MS/MS数据中识别来说至关重要.
  • 现有的精确的p值 (XPV) 方法由于分类不准确而与高分辨率质谱数据作斗争.
  • 类似点点产品的分数 (例如,XCorr) 是常见的,但需要精确的校准.

研究的目的:

  • 开发和验证一种使用高分辨率MS/MS数据校准PSM得分的新方法.
  • 解决标准XPV方法在处理高分辨率碎片化模式方面的局限性.
  • 为了提高质谱测量中标识的准确性和可靠性.

主要方法:

  • 引入了高分辨率精确p值 (HR-XPV) 方法,这是XPV的延伸.
  • 整合了在整个碎片化过程中的残余质量跟踪,以改善碎片箱分配.
  • 应用HR-XPV来校准高分辨率光谱的点产品样分数 (例如XCorr).
  • 使用四个不同的质谱数据集验证了该方法.

主要成果:

  • HR-XPV有效地对高分辨率MS/MS光谱进行PSM评分校准.
  • 该方法准确地将碎片分配到正确的容器中,利用高分辨率数据.
关键词:
在PSM中得分是如何得分的?准确的p值可以得到.高分辨率的高分辨率解决方案评分校准的成绩,分数的校准.双联质谱质量测量技术

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  • 实验结果显示,各种数据集的得分都得到了良好的校准.
  • 在所有测试的虚假发现率水平上都观察到改善的频谱注释.
  • 结论:

    • HR-XPV为高分辨率质谱测量中校准PSM得分提供了强大的解决方案.
    • 该方法通过改进分数校准来提高频谱注释的可靠性.
    • HR-XPV能够从现代的高分辨率质谱数据中更准确地识别.