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

相关实验视频

Updated: Mar 7, 2026

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

3.6K

stSCI:一个多任务学习框架,用于单细胞和空间转录组学数据的综合分析.

Han Shu1,2, Jing Chen3, Jialu Hu1,2

  • 1School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China.

Innovation (Cambridge (Mass.))
|March 6, 2026
PubMed
概括

相关概念视频

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

Analysis of the influence of the transducer and its coupling layer on round window stimulation.

Acta of bioengineering and biomechanics·2017
Same author

New alkenylated tetrahydropyran derivatives from the marine sediment-derived fungus Westerdykella dispersa and their bioactivities.

Fitoterapia·2017
Same author

Capturing the Unconventional Metallofullerene M@C<sub>66</sub> by Trifluoromethylation: A Theoretical Study.

Chemphyschem : a European journal of chemical physics and physical chemistry·2017
Same author

Zika-Virus-Encoded NS2A Disrupts Mammalian Cortical Neurogenesis by Degrading Adherens Junction Proteins.

Cell stem cell·2017
Same author

Intravenous immune-modifying nanoparticles as a therapy for spinal cord injury in mice.

Neurobiology of disease·2017
Same author

Dope dyeing of lyocell fiber with NMMO-based carbon black dispersion.

Carbohydrate polymers·2017
Same journal

Surface-ligand-triggered synthetic control of defects in nanocrystals toward high-efficiency blue electroluminescence.

Innovation (Cambridge (Mass.))·2026
Same journal

Satellite radar and AIS reveal a 97% decline in shipping traffic through the Strait of Hormuz.

Innovation (Cambridge (Mass.))·2026
Same journal

Hallmarks of health: A Chinese medicine perspective.

Innovation (Cambridge (Mass.))·2026
Same journal

HBV-driven expansion of CXCR6<sup>+</sup>-exhausted T cells and CXCL16<sup>+</sup> macrophage interaction: Implications for immunotherapy in HCC.

Innovation (Cambridge (Mass.))·2026
Same journal

Making the invisible audible: Soft biodegradable implants redefine deep-tissue sensing.

Innovation (Cambridge (Mass.))·2026
Same journal

Dynamic controls on subsurface water chemistry and habitability on icy moons.

Innovation (Cambridge (Mass.))·2026
查看所有相关文章
此摘要是机器生成的。

stSCI集成单细胞和空间转录组学数据,以克服分辨率和捕获限制. 这种计算方法增强了空间域识别和细胞类型映射,以获得更深入的生物学见解.

科学领域:

  • 计算生物学是一种计算生物学.
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 空间转录学 (ST) 提供空间上下文,但由于分辨率低和RNA捕获效率低下而受到影响.
  • 整合单细胞 (SC) 数据与ST数据对于全面的组织分析至关重要.

研究的目的:

  • 开发一种计算方法,stSCI,用于将SC和ST数据集成到统一的,批次纠正的嵌入空间中.
  • 为了实现先进的分析,包括空间域识别,ST解卷和SC空间坐标重建.

主要方法:

  • stSCI使用一个具有专门优化任务的融合模块来创建生物保存的关节隐藏表示.
  • 该方法在13个不同的ST数据集上进行了评估,并与27种现有方法进行了比较.

主要成果:

  • stSCI证明了空间域识别的改进和ST数据中细胞类型比例的准确映射.
  • 该方法成功地重建了组织架构,解决了区域结构,并通过删除批量效应来集成SC / ST数据集.
  • stSCI揭示了在沙门氏菌感染期间淋巴的时空反应.

结论:

  • stSCI是空间转录组学分析的强大而通用的工具,提高了分辨率和RNA捕获效率.
关键词:
数据整合数据集成图形神经网络是一个神经网络.单细胞转录组学 单细胞转录组学空间转录组学 空间转录组学

更多相关视频

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

920
Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
10:22

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

686

相关实验视频

Last Updated: Mar 7, 2026

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

3.6K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

920
Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq
10:22

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

686
  • 该方法为组织组织,分子功能和疾病模型提供了新的生物学见解.