Jove
Visualize
联系我们

相关概念视频

Cell Specific Gene Expression01:58

Cell Specific Gene Expression

13.6K
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
13.6K

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

Toward Industry 5.0: A WebSocket-S7 Bridge for Low-Latency, IEC 61588-Compliant Digital Twins in Remote Industrial Automation.

PloS one·2026
Same author

Towards an effective refactoring taxonomy for sustainable software systems.

PloS one·2026
Same author

Investigations on segmentation-based fractal texture for texture classification in the presence of Gaussian noise.

PloS one·2025
Same author

Enhancing unity-based AR with optimal lossless compression for digital twin assets.

PloS one·2024
Same author

A bi-annotated Malay-English code-switching (Manglish) dataset of X posts for biological gender identification and authorship attribution.

Data in brief·2024
Same author

A refactoring categorization model for software quality improvement.

PloS one·2023
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

相关实验视频

Updated: Jul 5, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.3K

路径活动推断方法对基因表达数据的稳定性评估.

Tay Xin Hui1, Shahreen Kasim2, Izzatdin Abdul Aziz3

  • 1Soft Computing and Data Mining Center, Faculty of Computer Sciences and Information Technology, Universiti Tun Hussein Onn Malaysia (UTHM), 83000, Batu Pahat, Malaysia.

BMC bioinformatics
|January 12, 2024
PubMed
概括

途径活动推断方法在六个癌症数据集的稳定性方面进行了评估. 基于的定向随机步行 (e-DRW) 显示出优异的可重现性,而基于路径拓学的 (PTB) 方法在识别癌症标志物方面通常优于非拓学的 (非TB) 方法.

关键词:
癌症的分类 癌症的分类文献验证 文献验证路径活动推断推断路径活动.路径分析 路径分析PubMed 文本数据挖掘 文本数据挖掘可复制性功率是指可复制性的功率.坚固性 坚固性

更多相关视频

A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

17.7K
Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
11:42

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

Published on: October 27, 2017

10.9K

相关实验视频

Last Updated: Jul 5, 2025

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
05:01

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information

Published on: July 1, 2020

3.3K
A Web Tool for Generating High Quality Machine-readable Biological Pathways
08:01

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

17.7K
Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
11:42

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

Published on: October 27, 2017

10.9K

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:

  • 高通量技术产生了大量的基因表达数据.
  • 路径分析方法从这些数据中估计路径活动.
  • 现有的方法分为非拓基础 (非TB) 或路径拓基础 (PTB).

研究的目的:

  • 系统地评估和比较路径活动推断方法的稳定性.
  • 评估各种癌症数据集中七种广泛使用的方法的性能.
  • 为了比较路径活性,风险活性路径和这些方法识别的基因的稳定性.

主要方法:

  • 七种途径活动推断方法的全面稳定性评估.
  • 利用六个癌症基因表达数据集进行分析.
  • 进行了两个评估:路径活动稳定性和风险活性路径/基因稳定性.

主要成果:

  • 对于大多数方法,平均可重复性功率通常随着路径选择的增加而下降.
  • 基于的定向随机步行 (e-DRW) 在所有数据集中展示了最高的可重现能力.
  • 没有任何一种方法在所有数据集中为风险活性途径和基因识别提供了令人满意的结果.

结论:

  • 基于路径拓学 (PTB) 的方法通常比非TB方法具有更大的可重现能力.
  • PTB 方法显示出在识别更具信息性的途径和基因方面的潜力.
  • 需要进一步的研究来提高跨数据集的风险活性途径和基因识别的稳定性.