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CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data07:11

CorrelationCalculator and Filigree: Tools for Data-Driven Network Analysis of Metabolomics Data

3.3K
We present CorrelationCalculator and Filigree, two tools for data-driven network construction and analysis of metabolomics data. CorrelationCalculator supports building a single interaction network of metabolites based on expression data, while Filigree allows building a differential network, followed by network clustering and enrichment analysis.
3.3K
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

820
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
820
Relative Motion Analysis - Velocity01:24

Relative Motion Analysis - Velocity

705
A stroke engine has a slider-crank mechanism that converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider.
When an external force is exerted, it sets the crank into a rotational movement. This, in turn, instigates the motion of the connecting rod, leading to what is referred to as a general plane motion. This process involves two key points - point A on the connecting rod...
705
Protein Networks02:26

Protein Networks

4.5K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.5K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

9.5K
Here, we present a protocol to explore the biomarker and survival predictor of breast cancer based on the comprehensive analysis of pooled clinical datasets derived from a variety of publicly accessible databases, using the strategy of expression, correlation and survival analysis step by...
9.5K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

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The Default Mode Network (DMN) in Temporal Lobe Epilepsy (TLE) is analyzed in the resting state of the brain using seed-based functional connectivity MRI...
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相关实验视频

Updated: Jan 20, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

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调和的多重关系双阶段网络数据包裹分析.

M Burak Erturan1

  • 1Dr.,Head Supply Engineer, General Directorate of State Hydraulic Works, Directorate of Region 13, Barış Mah. Halide Edip Cad. Kepez Antalya, Turkiye.

MethodsX
|January 19, 2026
PubMed
概括
此摘要是机器生成的。

本研究介绍了针对两阶段系统的调和倍数关系模型 (RMR). RMR提供了一种独特的效率评估解决方案,克服了以前数据包裹分析方法的局限性.

关键词:
数据包裹分析数据包裹分析.数据协调数据的协调.效率 效率是指效率是指效率.一个乘法式的乘法式.关系式 关系式 关系式两个阶段网络 DEA 两个阶段网络 DEA.

更多相关视频

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

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相关实验视频

Last Updated: Jan 20, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
07:11

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis

Published on: November 10, 2023

3.3K
Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

9.5K
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
12:09

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy

Published on: August 5, 2014

18.5K

科学领域:

  • 运营研究 运营研究
  • 管理科学 管理科学
  • 工业工程 工业工程 工业工程

背景情况:

  • 双阶段网络系统需要专门的效率评估方法.
  • 数据环境分析 (DEA) 中的传统的乘法关系模型可能会受到非唯一的效率解决方案的影响.
  • 现有的模型经常优先考虑子进程,这可能不反映真正的系统性能.

研究的目的:

  • 提出一种新的方法,用于在两阶段系统中更公平地评估效率.
  • 解决多重关系DEA模型中的非唯一性问题.
  • 引入一个不优先考虑任何子流程的模型.

主要方法:

  • 调和的乘法关系模型 (RMR) 的发展.
  • 在关系式DEA框架内应用数据协调技术.
  • 同时确定在关系约束下所有过程的最大效率值.

主要成果:

  • RMR模型提供了一个独特的效率评估解决方案.
  • 该方法克服了一些关系式DEA模型固有的非独特性问题.
  • RMR模型允许同时评估效率,而无需对流程进行优先排序.

结论:

  • 对于两阶段系统,RMR模型提供了更公平,更可靠的效率评估.
  • 这种方法特别有用,当没有决策单位 (DMU) 是首选或预先信息是不可用的.
  • RMR模型增强了关系式DEA在复杂的操作环境中的适用性.