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

Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

1.8K
Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...
1.8K
Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

915
Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...
915
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

865
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
865
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

717
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
717
Phylogenetic Species Concept in Microbiology01:22

Phylogenetic Species Concept in Microbiology

208
The phylogenetic species concept (PSC) is a framework used to delineate species based on evolutionary relationships, emphasizing shared ancestry and diagnosable genetic traits. Unlike morphological or biological species concepts, the PSC is particularly advantageous for microbial taxonomy, where traditional reproductive or phenotypic criteria often fall short due to the prevalence of asexual reproduction, minimal morphological differentiation, and widespread horizontal gene transfer among...
208
Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

66
Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...
66

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

Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study.

JMIR AI·2025
Same author

Community Health Workers Equipped with an mHealth Application Can Accurately Diagnose Hypertension in Rural Guatemala.

Global heart·2025
Same author

Uncertainty estimation in diagnosis generation from large language models: next-word probability is not pre-test probability.

JAMIA open·2025
Same author

A framework for future national pediatric pandemic respiratory disease severity triage: The HHS pediatric COVID-19 data challenge.

Journal of clinical and translational science·2023
Same author

A Systematic Review and Pooled Analysis of Hypothesized versus Observed Effect Sizes in Early Phase Cancer Prevention Clinical Trials.

Cancer prevention research (Philadelphia, Pa.)·2023
Same author

Entropy balancing for causal generalization with target sample summary information.

Biometrics·2023
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
Same journal

SpaMFG: a Spatial Multi-omics Integration Method based on Feature Grouping.

Bioinformatics (Oxford, England)·2026
Same journal

CSCN: Inference of Cell-Specific Causal Networks Using Single-Cell RNA-Seq Data.

Bioinformatics (Oxford, England)·2026
Same journal

Sparse CCA-Based Mediation Analysis with High-Dimensional Exposures and Mediators.

Bioinformatics (Oxford, England)·2026
Same journal

Enhancing Cross-Context Generalization in Drug Perturbation Prediction with a Multimodal Conditional Diffusion Framework.

Bioinformatics (Oxford, England)·2026
Same journal

Primer Design through Submodular Function Estimation.

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

相关实验视频

Updated: May 6, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

27.7K

多维缩放改善了微生物组数据的基于距离的聚类.

Guanhua Chen1, Xinyue Wang2, Qiang Sun3

  • 1Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53726, United States.

Bioinformatics (Oxford, England)
|January 28, 2025
PubMed
概括
此摘要是机器生成的。

使用多维缩放 (MDS) 聚类微生物组数据可以改善患者亚组的发现,特别是当差异微妙时. 这种方法增强了基于距离的聚类,以更好地了解健康和疾病中的微生物.

更多相关视频

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

15.5K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.3K

相关实验视频

Last Updated: May 6, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
11:22

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

27.7K
Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data
04:57

Assisted Selection of Biomarkers by Linear Discriminant Analysis Effect Size LEfSe in Microbiome Data

Published on: May 16, 2022

15.5K
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.3K

科学领域:

  • 微生物组研究的研究.
  • 计算生物学是一种计算生物学.
  • 统计遗传学 统计遗传学

背景情况:

  • 通过微生物组成对患者进行分组对于了解健康和疾病至关重要.
  • 基于距离的集群,就像围绕Medoids (PAM) 的分区一样,在计算上是高效的,但在稀疏的微生物信号数据方面却很困难.

研究的目的:

  • 提高微生物组数据基于距离的聚类方法的性能.
  • 在稀疏信号场景中解决现有方法的局限性.

主要方法:

  • 一个两步程序,涉及经典的多维缩放 (MDS) 以减少维度.
  • 在从MDS获得的低维数据上应用基于距离的聚类.

主要成果:

  • 多维缩放 (MDS) 有效地否定了微生物组数据.
  • 与直接基于距离的集群相比,拟议的基于MDS的程序在稀疏信号场景中显著改善了集群性能.
  • 该方法的有效性通过模拟和真实世界的微生物群数据应用得到验证.

结论:

  • 经典的多维缩放 (MDS) 是微生物组数据集群的强大预处理步骤.
  • 拟议的方法为识别与人类健康和疾病相关的微生物模式提供了可靠的解决方案.