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

Effects of EDTA on End-Point Detection Methods01:18

Effects of EDTA on End-Point Detection Methods

Different methods, such as visual observance of metal-ion indicators, spectroscopic techniques, and potentiometric methods, can determine the endpoint of an EDTA titration.
In the visual method, metal-ion indicators (metallochromic dyes), which have distinct colors in their free and complex forms, are added to the mixture to signal the titration's end point. They form stable complexes with metal ions, but these complexes are weaker than the corresponding metal–EDTA complexes. As a result, EDTA...

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

A systematic review and meta-analysis of the relationship between physical activity and procrastination behavior.

Acta psychologica·2026
Same author

STGBench: sequencing-level spatial DNA-RNA simulation for multimodal and virtual cell-oriented benchmarking of genomic alterations.

Briefings in bioinformatics·2026
Same author

Network analysis of anxiety and depression in college students with different levels of physical activity.

Scientific reports·2026
Same author

Genome-wide analysis of the LAR gene family and the role of OvLAR71 in proanthocyanidin biosynthesis in Onobrychis viciifolia.

Plant physiology and biochemistry : PPB·2026
Same author

Microfluidic filtration enrichment cascade nanozyme-catalyzed colorimetric immunoassay for rapid and ultrasensitive detection of <i>Escherichia coli</i> in urine with smartphone readout.

Analytical methods : advancing methods and applications·2026
Same author

A comparative study of machine learning models for microbiome-based diagnosis and multi-class staging of colorectal cancer.

Scientific reports·2026

相关实验视频

Updated: May 13, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.2K

代和适应性参数优化,以在异质样本中稳定ctDNA检测MRD

Tianci Wang1,2, Xin Lai1,2, Shenjie Wang1,2

  • 1School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, China.

Bioinformatics (Oxford, England)
|September 1, 2025
PubMed
概括
此摘要是机器生成的。

通过采用适应性框架和CNN元模型来提高循环瘤DNA (ctDNA) 的稳定和高效变异检测,MRDagent提高了最小残留疾病 (MRD) 的检测. 这种工具为临床应用提供了可靠的解决方案.

更多相关视频

Single Droplet Digital Polymerase Chain Reaction for Comprehensive and Simultaneous Detection of Mutations in Hotspot Regions
08:23

Single Droplet Digital Polymerase Chain Reaction for Comprehensive and Simultaneous Detection of Mutations in Hotspot Regions

Published on: September 25, 2018

13.4K
Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
06:53

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Published on: June 8, 2019

8.8K

相关实验视频

Last Updated: May 13, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
10:36

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

12.2K
Single Droplet Digital Polymerase Chain Reaction for Comprehensive and Simultaneous Detection of Mutations in Hotspot Regions
08:23

Single Droplet Digital Polymerase Chain Reaction for Comprehensive and Simultaneous Detection of Mutations in Hotspot Regions

Published on: September 25, 2018

13.4K
Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
06:53

Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids

Published on: June 8, 2019

8.8K

科学领域:

  • 癌症学
  • 生物信息学
  • 基因组学

背景情况:

  • 最小残留性疾病 (MRD) 是癌症管理中的关键预后生物标志物,但由于低变异基因频率 (VAF) 和样本异质性,通过下一代测序 (NGS) 循环瘤DNA (ctDNA) 分析进行检测具有挑战性.
  • 由于需要个性化参数调整,相互依赖的工作流参数,以及自动化优化的局限性,目前的方法难以稳定的MRD检测.

研究的目的:

  • 开发一种新型病毒检测工具,即MRDagent,专门用于强大而稳定的最小残留疾病 (MRD) 检测.
  • 通过创建适应性和高效的计算解决方案来解决MRD检测工作流中的参数优化的挑战.

主要方法:

  • MRDagent使用一个代,自适应的优化框架来管理不同阶段的变种检测中的复杂和合的参数.
  • 集成基于卷积神经网络 (CNN) 的元模型,用于快速参数预测,在历史数据上进行训练,以提高计算效率和通用性.

主要成果:

  • 在模拟和现实数据集中,MRDagent在MRD检测方面表现出卓越和稳定的性能.
  • 该工具为MRD检测提供了高效可靠的解决方案,提高了ctDNA分析在临床和高吞吐量研究中的实用性.

结论:

  • 在MRD检测技术方面,MRDagent提供了显著的进步,克服了现有方法的主要局限性.
  • 开发的工具是免费的,促进其在临床实践和研究中采用,以改善癌症患者的治疗.