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

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.4K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.4K
Introduction to R01:11

Introduction to R

4.3K
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
4.3K

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

DESI-MSI applications for direct (spatial) biomolecular analysis of South African natural medicinal products.

Frontiers in plant science·2026
Same author

Boron-targeted H-atom transfer drives disproportionation of 2,1-benzazaborolyl radical anions beyond reversible Gomberg-Krause dimerization.

Dalton transactions (Cambridge, England : 2003)·2026
Same author

USP2 is an androgen-repressed survival factor that stabilises oncoproteins to facilitate therapy resistance in prostate cancer.

Cell death & disease·2026
Same author

A lipidomics roadmap: from basic research to societal challenges.

Nature communications·2026
Same author

Derivatisation-free FIA-MS/MS assay for rapid simultaneous screening of atypical myopathy biomarkers and acylcarnitine profiles from dried blood spots.

Analytical and bioanalytical chemistry·2026
Same author

Single-cell lipidomic analysis of the epithelial-mesenchymal transition using mass spectrometry imaging.

iScience·2026

相关实验视频

Updated: Jan 16, 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

3.2K

在R和Python中使用最佳实践和工具,用于统计处理和可视化脂组学和代谢学数据.

Jakub Idkowiak1,2, Jonas Dehairs2, Jana Schwarzerová3,4,5

  • 1Department of Analytical Chemistry, Faculty of Chemical Technology, University of Pardubice, Pardubice, Czechia.

Nature communications
|September 30, 2025
PubMed
概括
此摘要是机器生成的。

本综述汇编了免费访问的R和Python工具,用于探索和可视化复杂的脂组学和代谢学数据. 它指导初学者使用这些解决方案进行强大的,可复制的OMIC数据分析和准备出版的图形.

更多相关视频

Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis
11:25

Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis

Published on: July 11, 2014

34.7K
Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Published on: May 20, 2013

23.3K

相关实验视频

Last Updated: Jan 16, 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

3.2K
Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis
11:25

Multi-step Preparation Technique to Recover Multiple Metabolite Compound Classes for In-depth and Informative Metabolomic Analysis

Published on: July 11, 2014

34.7K
Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS
11:00

Untargeted Metabolomics from Biological Sources Using Ultraperformance Liquid Chromatography-High Resolution Mass Spectrometry UPLC-HRMS

Published on: May 20, 2013

23.3K

科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 数据科学数据科学数据科学

背景情况:

  • 脂组学和代谢学产生大型数据集,需要先进的数据探索技能.
  • 识别统计学上显著的趋势和生物差异需要专门的可视化技术.
  • 现有的量身定制的方法是实验室特定的,突出了对可访问,标准化的工具的需求.

研究的目的:

  • 审查和编译可自由访问的R和Python工具,用于探索性数据分析和对omics数据的可视化.
  • 引导研究人员,特别是初学者,培养分析和可视化复杂生物数据集的技能.
  • 促进R和Python的使用,以便在欧米学研究中进行可靠和可重复的化学测量分析.

主要方法:

  • 编译现有的,免费可用的R和Python库,用于数据分析和可视化.
  • 包括描述性统计,假设测试和各种情节类型 (例如盒子情节,火山情节,热图) 的方法.
  • 关于无监督和监督的维度减小技术和层次分类 (dendrograms) 的指导.

主要成果:

  • 介绍了一个精心策划的R和Python工具选择,用于关键的OMIC数据探索任务.
  • 该审查包括编制描述性统计数据,注释框图,假设测试,火山图,脂质图和脂肪酸链图.
  • 为全面的数据可视化提供了无监督和监督的维度减小,树状图和热图的指导.

结论:

  • 自由访问的R和Python工具为分析和可视化omics数据提供了强大的解决方案.
  • 这份指南使研究人员能够进行可重复的化学测量分析,并生成准备出版的图形.
  • 相关的GitBook存储库提供了这些数据分析技术的实际应用的逐步说明.