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

Genomics02:02

Genomics

39.5K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
39.5K

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

Copper-mediated amidation of alkenylzirconocenes with acyl azides: formation of enamides.

Organic letters·2013
Same author

JARID1A, JMY, and PTGER4 polymorphisms are related to ankylosing spondylitis in Chinese Han patients: a case-control study.

PloS one·2013
Same author

[The risk factors of ventilator-associated pneumonia in newborn and the changes of isolated pathogens].

Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition·2013
Same author

A route to phase controllable Cu2ZnSn(S(1-x)Se(x))4 nanocrystals with tunable energy bands.

Scientific reports·2013
Same author

Efficacy of an infection control program in reducing ventilator-associated pneumonia in a Chinese neonatal intensive care unit.

American journal of infection control·2013
Same author

[Effect of different forms of inorganic nitrogen on the photodegradation of antipyrine in water].

Huan jing ke xue= Huanjing kexue·2013

相关实验视频

Updated: Jan 8, 2026

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

2.0K

单细胞和空间多组学:对疾病的应用.

Wentao Li1,2, Chao Chen1, Xin Zhu1,3

  • 1Key Laboratory of Head & Neck Cancer Translation Research of Zhejiang Province Zhejiang Cancer Hospital Hangzhou China.

MedComm
|December 17, 2025
PubMed
概括

单细胞和空间多组学为了解人类疾病机制提供了新的途径. 整合这些方法有助于疾病诊断,治疗规划和推进精准医学.

关键词:
深度学习是一种深度学习.多种多种多种多种多种多种多种多种多种多种.精准医学是一门精准医学.一个单细胞的奥米克.空间的奥米克.

更多相关视频

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies
05:45

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Published on: March 29, 2024

3.2K
Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
11:00

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

17.8K

相关实验视频

Last Updated: Jan 8, 2026

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

2.0K
Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies
05:45

Author Spotlight: Integrating Organoid Models with Single-Cell and Spatial Transcriptomics Technologies

Published on: March 29, 2024

3.2K
Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment
11:00

Visualization, Quantification, and Mapping of Immune Cell Populations in the Tumor Microenvironment

Published on: March 25, 2020

17.8K

科学领域:

  • 生物医学研究的研究.
  • 基因组学就是基因组学.
  • 分子生物学分子生物学

背景情况:

  • 人类疾病涉及复杂的分子网络.
  • 单细胞和空间多组学为疾病研究提供了新的工具.
  • 整合这些多组学方法可以增强对疾病中的细胞特征和联系的理解.

研究的目的:

  • 审查单细胞和空间多组学方法.
  • 讨论它们在了解疾病机制 (例如癌症,神经退行性疾病,衰老) 的应用.
  • 探索深度学习在分析多组学数据中对疾病洞察力的作用.

主要方法:

  • 审查单细胞和空间多组学技术.
  • 分析深度学习应用在多学科数据中的分析.
  • 关于癌症,神经退行性疾病和衰老的案例研究.

主要成果:

  • 单细胞和空间多组学的整合提供了对疾病发病的更深入的见解.
  • 深度学习增强了对上游病原性改变和下游分子效应的分析.
  • 这些方法对于指导准确医学中的治疗策略和风险评估至关重要.

结论:

  • 单细胞和空间多组学是阐明疾病病原学的强大工具.
  • 这些技术的整合有望在理解和治疗人类疾病方面取得重大进展.
  • 该领域正在迅速发展,深度学习在数据分析中发挥着关键作用.