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相关概念视频

Propagation of Uncertainty from Systematic Error01:10

Propagation of Uncertainty from Systematic Error

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The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
517
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

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Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value. 
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Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

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An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
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Layered social competition coordinates reproductive hierarchy formation in ants.

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相关实验视频

Updated: Jun 28, 2025

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
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Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

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超越规范化:将规模不确定性纳入微生物组和基因表达分析.

Michelle Pistner Nixon1, Gregory B Gloor2, Justin D Silverman1,3,4

  • 1College of Information Science and Technology, Pennsylvania State University, University Park, PA, USA.

bioRxiv : the preprint server for biology
|April 15, 2024
PubMed
概括
此摘要是机器生成的。

测序分析中的统计规范化可能会导致错误. 规模模型提供了一个强大的替代方案,提高准确性,减少差异丰度和表达研究中的假阳性.

科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 统计建模 统计建模

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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

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Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
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相关实验视频

Last Updated: Jun 28, 2025

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
07:21

Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing

Published on: August 25, 2018

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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

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Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
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背景情况:

  • 统计规范化是处理测序数据样本变化的标准.
  • 常见的规范化依赖于对生物系统规模 (例如微生物负载) 的假设.
  • 违反这些假设可能会导致差分分析中的假阳性和假负.

结论:

  • 建议在实际环境中进行差异分析时使用规模模型而不是规范化.
  • 这种方法为分析序列数据提供了更强大的框架.
  • 在差异丰度和表达分析中实现了更高的准确性.