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相关概念视频

The Uncertainty Principle04:08

The Uncertainty Principle

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Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
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Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

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Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
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pH Scale02:41

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Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
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Uncertainty: Overview00:59

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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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Uncertainty in Measurement: Significant Figures03:34

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All the digits in a measurement, including the uncertain last digit, are called significant figures or significant digits. Note that zero may be a measured value; for example, if a scale that shows weight to the nearest pound reads “140,” then the 1 (hundreds), 4 (tens), and 0 (ones) are all significant (measured) values.
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Uncertainty in Measurement: Accuracy and Precision03:37

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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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Updated: Feb 6, 2026

Gene Expression Analyses in Human Follicles
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将规模不确定性纳入使用ALDEx2的微分表达式分析中.

Scott J Dos Santos1, Gregory B Gloor1

  • 1Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, Ontario, Canada.

Current protocols
|February 4, 2026
PubMed
概括
此摘要是机器生成的。

在测序数据中的差异丰度分析通过考虑样本规模的不确定性来改进. ALDEx2 在线阅读

关键词:
ALDEx2 在线阅读在RNA-seqq.不同的丰度差异.不同的表达方式,不同的表达方式.转基因组学是指转基因组学.

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科学领域:

  • 微生物学 微生物学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 不同的丰度和表达分析是测序数据的标准.
  • 当前的方法往往缺乏真实样本规模的信息,导致技术变化误解.
  • 现有的规范化技术对生物规模做出了有缺陷的假设,增加了错误发现率.

研究的目的:

  • 为了证明将规模模型纳入RNA-seq,转录组和转录组数据的微分表达式分析.
  • 突出规模建模对分析结果的影响.
  • 介绍ALDEx2输出的可视化方法.

主要方法:

  • 使用ALDEx2 R包构建和应用规模模型.
  • 在批量转录基因组和转录基因组数据集上进行差异表达分析.
  • 应用主要组件分析用于数据可视化.

主要成果:

  • 规模模型减轻了正常化中的错误假设,降低了错误发现率.
  • 整合规模模型可以提高微分表达式分析的准确性.
  • 通过组合主要组件分析,可以有效地可视化ALDEx2的输出.

结论:

  • 通过规模模型计算样本规模不确定性对于准确的差异丰度和表达分析至关重要.
  • ALDEx2为将规模建模集成到标准生物信息学工作流程中提供了一个框架.
  • 这种方法提高了来自高通量测序数据的发现的可靠性.