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相关概念视频

Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

1.4K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
1.4K
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

1.7K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
1.7K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

570
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
570
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

129
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
129
Instrument Calibration01:12

Instrument Calibration

219
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
219
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

81
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
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相关实验视频

Updated: Jul 19, 2025

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

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一种新型的变量选择方法,基于捆绑-规范化相互信息,用于多变量校准.

Liang Zhong1, Ruiqi Huang1, Lele Gao1

  • 1NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012, China.

Molecules (Basel, Switzerland)
|August 12, 2023
PubMed
概括
此摘要是机器生成的。

一种新方法,即binning-normalized mutual information (B-NMI),通过选择关键波长来增强近红外光谱分析. 这种方法提高了模型性能,为复杂的样本提供了更稳定,更强大的结果.

关键词:
数据组合数据组合.接近红外光谱学近红外光谱学规范化的相互信息.选择变量的选择变量.

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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
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相关实验视频

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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

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Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
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Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
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科学领域:

  • 分析化学 分析化学
  • 化学测量 化学测量 化学测量
  • 频谱学是一种光谱学.

背景情况:

  • 变量选择对于准确的近红外 (NIR) 光谱的多变量分析至关重要.
  • 提高模型的可解释性和性能依赖于有效的波长选择.
  • 现有的方法可能无法充分解决噪声或在复杂的光谱数据中增强特征.

研究的目的:

  • 引入一种新的变量选择方法,即B-NMI (binning-normalized mutual information),用于NIR光谱分析.
  • 通过减少测量错误效应,提高信息波长的选择.
  • 根据既有方法评估B-NMI的性能和稳定性.

主要方法:

  • 基于信息理论的bin-normalized相互信息 (B-NMI) 方法的开发.
  • 应用数据对接到NIR光谱以减轻轻微的错误和增强功能.
  • 使用规范化的相互信息来量化波长-参考值相关性.
  • 使用各种数据集进行验证:三元溶剂混合物,流化床颗粒化,汽油八度和玉米蛋白.

主要成果:

  • B-NMI有效地确定了复杂的现实世界NIR光谱中最重要的波长.
  • 与BIPLS,VIP,CC,UVE和CARS等传统技术相比,提出的方法显示出更高的性能.
  • B-NMI显著提高了可变选择结果的稳定性和稳定性.
  • 数据组合成功地减少了轻微测量错误对光谱特征的影响.

结论:

  • 结合规范化的相互信息 (B-NMI) 提供了一种强大而可靠的方法,用于NIR光谱中的变量选择.
  • B-NMI 方法提高了多变量模型的解释性和预测准确性.
  • 该技术为分析各种应用中的复杂光谱数据提供了强大的解决方案.