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

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

Advancing Reproducibility and Open Data in Theoretical and Computational Chemistry.

Journal of chemical theory and computation·2026
Same author

Topological data analysis and topological deep learning beyond persistent homology: a review.

Artificial intelligence review·2026
Same author

Interpretability and Representability of Commutative Algebra, Algebraic Topology, and Topological Spectral Theory for Real-World Data.

Advanced intelligent discovery·2026
Same author

Commutative Algebra Modeling in Materials Science - A Case Study on Metal-Organic Frameworks (MOFs).

Journal of chemical information and modeling·2026
Same author

Computational Drug Repurposing for Alzheimer's Disease via Sheaf Theoretic Population-Scale Analysis of snRNA-Seq Data.

Journal of medicinal chemistry·2026
Same author

Computational Drug Repurposing for Alzheimer's Disease via Sheaf Theoretic Population-Scale Analysis of snRNA-seq Data.

ArXiv·2025
Same journal

Multi-tissue Metabolic GWAS and Drought-Responsive Multi-omics Reveal the Genetic Basis of the Quinoa Metabolome.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Bioinspired Multifunctional Flexible C-SiC Fibrous Aerogel for Superior Electromagnetic Interference Shielding Under Extreme Environments.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

RHINO: An Integrative Multi-Omics Framework Linking Circadian Physiology to Precision Medicine.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

From Chatbots to Co-Scientists: The Impact of Knowledge-Generating AI (AI 4.0) on Healthcare and Research.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Cobalt Single-Atom Nanozyme for Enhanced Intestinal Radioprotection and Tumor Radiosensitization via Bidirectional ROS Modulation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same journal

Ultrafast Optoacoustics Reveals Intricate 3D Anisotropic Elasticity in Nanocrystalline Membranes.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
查看所有相关文章

相关实验视频

Updated: Jan 17, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

661

多层次细胞-细胞交互空间转录学分析

Sean Cottrell1,2, Guo-Wei Wei1,3,4

  • 1Department of Mathematics, Michigan State University, East Lansing, MI, 48824, USA.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|September 15, 2025
PubMed
概括
此摘要是机器生成的。

多尺度细胞-细胞交互空间转录学 (MCIST) 分析通过整合多尺度细胞交互来增强空间转录学. MCIST显著改善了空间域检测,并提供了更深入的生物学见解.

关键词:
深度学习是一种深度学习.多层次细胞细胞相互作用.持续的拉普拉西亚语.空间转录学 空间转录学

更多相关视频

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.4K
Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

4.1K

相关实验视频

Last Updated: Jan 17, 2026

Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

661
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
09:19

Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection

Published on: July 6, 2022

5.4K
Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

4.1K

科学领域:

  • 计算生物学 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:

  • 空间转录学分析基因表达与组织研究的空间信息.
  • 目前的方法忽略了关键的多层次细胞相互作用,限制了生物学理解.
  • 需要先进的分析方法来捕捉这些复杂的相互作用.

研究的目的:

  • 为了引入多层次细胞-细胞交互空间转录学 (MCIST) 分析.
  • 解决现有方法中忽视多层次细胞相互作用的局限性.
  • 为了提高空间转录学数据分析的准确性和深度.

主要方法:

  • MCIST集成了细胞与细胞相互作用的多尺度拓表示集.
  • 它将这些表示与先进的空间深度学习技术相结合.
  • 该方法与使用37个基准数据集的14种最先进的方法进行了验证.

主要成果:

  • 在空间域检测方面,MCIST表现出了卓越的性能,在23/37个数据集上获得了最佳集群分数.
  • 它在33/37个数据集中排名前三,显著超过现有方法.
  • 在空间域检测方面,MCIST提供了11%的改进,并为轨迹推断和基因表达分析提供了多尺度的见解.

结论:

  • MCIST代表了空间转录学分析的重大进步.
  • 该方法有效地捕捉了生物过程中至关重要的多层次细胞-细胞相互作用.
  • MCIST为了解组织组织和细胞动态提供了有价值的新视角.