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

¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.1K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.1K
Mass Spectrometry: Complex Analysis01:21

Mass Spectrometry: Complex Analysis

825
Mass spectrometry is an important technique for the identification of pure compounds. However, it has some limitations for the analysis of complex mixtures, often due to excessive fragmentation making the spectrum too complicated to decipher. Mass spectrometry can be combined with suitable separation methods in sequence, forming hyphenated methods, which are useful in the analysis of complex mixtures.
GC–MS is a powerful hyphenated method commonly used in forensics and environmental...
825
High-Resolution Mass Spectrometry (HRMS)01:15

High-Resolution Mass Spectrometry (HRMS)

1.4K
The resolution of a mass spectrometer depends on the efficiency of separating ions with different ion masses. The mass of an atom is approximated to the sum of the masses of protons and neutrons inside, considering the masses of protons and neutrons as equal. However, the masses of the proton (1.6726 × 10−24 g) and neutron (1.6749 × 10−24 g) are not truly equal. There is a minor error in the expression of atomic masses relative to the simplest atom of hydrogen. For...
1.4K

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

Systematic Evaluation of Plasma and Urine Metabolites to Predict the Risk of Adverse Kidney-related Outcomes in Chronic Kidney Disease: The GCKD Study∗.

Kidney medicine·2026
Same author

Educational inequalities are associated with distinct metabolomic and gut microbiome patterns in adults.

Social science & medicine (1982)·2026
Same author

Immune-proteo-metabolomic changes link to Aβ and tau pathology in Alzheimer disease.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Integrating intestinal microbiome and urinary metabolome data to predict secondary infection in critically ill patients.

Critical care (London, England)·2026
Same author

Simultaneous determination of free and total metabolite concentrations in proteinaceous specimens by 1D <sup>1</sup>H CPMG NMR.

Cell reports methods·2026
Same author

Lactic acid promotes an MDSC-like phenotype via HIF1α stabilization with impact on prognosis in renal cell carcinoma.

Cancer letters·2025
Same journal

Probabilistic RNA designability via interpretable ensemble approximation and dynamic decomposition.

Bioinformatics (Oxford, England)·2026
Same journal

Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity.

Bioinformatics (Oxford, England)·2026
Same journal

GATSBI: improving context-aware protein embeddings through biologically motivated data splits.

Bioinformatics (Oxford, England)·2026
Same journal

BiMba: using Vision Mamba to predict protein sites that bind other proteins.

Bioinformatics (Oxford, England)·2026
Same journal

ProMeta: a meta-learning framework for robust disease diagnosis and prediction from plasma proteomics.

Bioinformatics (Oxford, England)·2026
Same journal

Is a Win-Win possible? Achieving pareto-optimal privacy-utility balance in fine-tuned genome language model embeddings against embedding reconstruction attacks.

Bioinformatics (Oxford, England)·2026
查看所有相关文章

相关实验视频

Updated: Jul 19, 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

在混合高维分子数据中检测异常.

Lena Buck1, Tobias Schmidt1, Maren Feist2

  • 1Department of Statistical Bioinformatics, University of Regensburg, 93040 Regensburg, Germany.

Bioinformatics (Oxford, England)
|August 16, 2023
PubMed
概括
此摘要是机器生成的。

在混合分子数据中检测和纠正单个异常,超过现有方法的性能. 这种方法提高了高维数据和临床数据集的数据质量.

更多相关视频

Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092
08:53

Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092

Published on: October 2, 2017

30.1K
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

13.2K

相关实验视频

Last Updated: Jul 19, 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
Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092
08:53

Biochemical and Structural Characterization of the Carbohydrate Transport Substrate-binding-protein SP0092

Published on: October 2, 2017

30.1K
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

13.2K

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
  • 数据科学数据科学数据科学

背景情况:

  • 混合分子数据,结合连续 (例如,奥米克) 和分类 (例如,基因型,诊断) 特性,对于生物学见解至关重要.
  • 高维分子数据容易出现错误,通常表现为样本中的单个不正确测量 (异常),而不是整个异常样本.
  • 现有的异常检测方法通常将整个样本识别为异常值,未能解决混合数据中常见的微妙,单一特征错误.

研究的目的:

  • 引入ADMIRE (使用混合图形模型进行异常检测),这是一种用于检测和纠正混合高维数据中的单维异常的新方法.
  • 专门解决分子数据集中的连续和分类特征中的错误.
  • 提高使用混合分子数据的分析的准确性和可靠性.

主要方法:

  • ADMIRE使用混合图形模型来学习连续和分类特征的联合分布.
  • 通过量化测量特征值与基于模型的估计值之间的差异来确定异常.
  • 检测到的异常被使用归算技术纠正.

主要成果:

  • 在混合分子数据的连续和分类特征中,ADMIRE成功检测和纠正单维异常.
  • 在模拟实验中,ADMIRE与当地的异常因子,流浪和隔离森林等最先进的异常检测方法相比表现优越.
  • 该方法在现实世界代谢数据集上得到了验证,展示了其实际适用性.

结论:

  • ADMIRE提供了一个强大的解决方案,用于识别和纠正复杂的混合分子数据集中的微妙数据错误.
  • 开发的Python包"adadmire"为研究人员提供了可访问的实现.
  • 预计这一进步将提高来自高维奥米克和临床数据分析的研究结果的质量和可解释性.