Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Correlation of Experimental Data01:23

Correlation of Experimental Data

236
Dimensional analysis simplifies complex physical problems and guides experimental investigations, but it does not provide complete solutions. It identifies the dimensionless groups that influence a phenomenon, but experimental data is needed to establish the specific relationships and validate theoretical predictions.
For example, a spherical particle moving through a viscous fluid experiences drag. Dimensional analysis shows that the drag force depends on the particle's diameter, velocity,...
236
Genomics02:02

Genomics

36.4K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.4K
Correlation and Regression00:53

Correlation and Regression

1.3K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
1.3K
Dimensional Analysis03:40

Dimensional Analysis

44.9K
Dimensional analysis, also known as the factor label method, is a versatile approach for mathematical operations. The main principle behind this approach is: the units of quantities must be subjected to the same mathematical operations as their associated numbers. This method can be applied to computations ranging from simple unit conversions to more complex and multi-step calculations involving several different quantities and their units.
Conversion Factors and Dimensional Analysis
The unit...
44.9K
2D NMR: Overview of Homonuclear Correlation Techniques01:16

2D NMR: Overview of Homonuclear Correlation Techniques

212
Homonuclear correlation spectroscopy (COSY) is a powerful technique used in Nuclear Magnetic Resonance (NMR) spectroscopy to study the correlations between nuclei of the same type within a molecule. It provides information about scalar couplings between adjacent nuclei, which helps determine connectivity and structural information. There are several COSY variants, each with its unique strengths and experimental parameters.
COSY90 is the standard two-dimensional (2D) COSY experiment that...
212
2D NMR: Overview of Heteronuclear Correlation Techniques01:18

2D NMR: Overview of Heteronuclear Correlation Techniques

197
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...
197

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

<i>XIST</i> Is a Key Modulator Associated with the Adhesome Network.

bioRxiv : the preprint server for biology·2026
Same author

Panalyze: automated virus pangenome variation graph construction, analysis and annotation.

Bioinformatics advances·2026
Same author

Approaches to Studying Virus Pangenome Variation Graphs.

Genomics, proteomics & bioinformatics·2026
Same author

Genetic variation associated with Marek's disease resistance and susceptibility in white leghorn chickens.

Poultry science·2026
Same author

Epigenetic evolution of isocitrate dehydrogenase-wildtype glioblastomas.

Neuro-oncology·2026
Same author

Competencies for bioinformatics core facility scientists: extension of the ISCB competency framework for bioinformatics.

Bioinformatics advances·2025
Same journal

Determining social mechanisms for sequential decision-making in a virtual pedestrian route choice experiment.

Journal of the Royal Society, Interface·2026
Same journal

Agentic AI integrated with scientific knowledge: laboratory validation in systems biology.

Journal of the Royal Society, Interface·2026
Same journal

Optimal control for anti-abeta treatment in Alzheimer's disease using a reaction-diffusion model.

Journal of the Royal Society, Interface·2026
Same journal

Methods for reproducible comparison of strategies in stochastic modelling.

Journal of the Royal Society, Interface·2026
Same journal

Collective ant transport outperforms gravity-based solvers on complex puzzles.

Journal of the Royal Society, Interface·2026
Same journal

RNA-ligand complexes and the attenuation of neutral confinement in the evolution of RNA secondary structures.

Journal of the Royal Society, Interface·2026
查看所有相关文章

相关实验视频

Updated: Jul 14, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.3K

一本关于基于关联的维度减小方法的入门书,用于多omics分析.

Tim Downing1,2, Nicos Angelopoulos1

  • 1Pirbright Institute, Pirbright, Surrey, UK.

Journal of the Royal Society, Interface
|October 11, 2023
PubMed
概括
此摘要是机器生成的。

本综述探讨了多omics数据集成,从单个样本中结合不同的分子概况. 它指导研究人员选择合适的计算和统计方法来分析复杂的数据集.

关键词:
一个R包一个R包相关性 相关性 相关性缩小尺寸缩小尺寸的方法基因组学就是基因组学.多种主题的多种主题.

更多相关视频

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

2.4K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.7K

相关实验视频

Last Updated: Jul 14, 2025

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

1.3K
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

2.4K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.7K

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
  • 基因组学就是基因组学.

背景情况:

  • 欧米技术的进步使生物样本的综合分子分析成为可能.
  • 从同一样本中整合多个omic数据源 (多个omics) 提供了更深入的生物学见解.

研究的目的:

  • 审查基于关联的维度缩小和网络方法,用于多omics数据集成.
  • 为选择合适的分析方法和多学科研究的实验设计提供指导.

主要方法:

  • 专注于基于关联的维度缩小,用于单个,配对和多个omics数据集.
  • 简要介绍了整合三种或更多种omics数据集的网络方法.
  • 将方法与相关的R包进行链接,以便在实践中实现.

主要成果:

  • 提供了多学科整合技术的结构化概述.
  • 为研究人员提供实用的路线图和实验设计考虑.
  • 突出了具有较大的样本大小的人口多组的潜力.

结论:

  • 研究人员可以更有效地导航新兴的多学科整合方法.
  • 对多样化的欧米克数据集进行适当的分析可以增强生物学理解.
  • 促进了在大型研究中应用多主题方法.