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

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...

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

SpaDC enables sequence-based integrative analysis and regulatory inference of spatial chromatin accessibility data.

Communications biology·2026
Same author

Gut microbiota-derived deoxycholic acid shapes an immunosuppressive tumor microenvironment and promotes breast cancer progression.

Cell metabolism·2026
Same author

Interpretable data integration for single-cell and spatial multi-omics.

Cell systems·2026
Same author

Sexual dimorphism in cancer: molecular mechanisms and precision oncology perspectives.

Biology of sex differences·2026
Same author

GTpick: A deep neural network for Cryo-EM particle detection.

Computational and structural biotechnology journal·2025
Same author

Exosome-mediated perturbation of the immune-bone metabolism axis: a mechanistic investigation into bone loss in a simulated microgravity environment.

Artificial cells, nanomedicine, and biotechnology·2025
Same journal

Another 10 years of PLOS Computational Biology: A data-driven reflection on trends in genomics research.

PLoS computational biology·2026
Same journal

Mobility data resolution needed to inform predictive models of spatial epidemic spread from mobile phone data.

PLoS computational biology·2026
Same journal

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

PLoS computational biology·2026
Same journal

Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.

PLoS computational biology·2026
Same journal

Optimized phenotype definitions boost GWAS power.

PLoS computational biology·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
查看所有相关文章

相关实验视频

Updated: May 20, 2026

Revealing Neural Circuit Topography in Multi-Color
09:11

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

15.5K

一个基于图形神经网络的空间多omics数据集成方法,用于破译空间域.

Congqiang Gao1, Chenghui Yang2,3, Lihua Zhang2,3

  • 1School of Cyber Science and Engineering, Wuhan University.

PLoS computational biology
|September 30, 2025
PubMed
概括
此摘要是机器生成的。

空间多omics分析是具有挑战性的. 我们开发了SpaMI,一个图形神经网络模型,用于有效地整合空间表观基因组-转录基因组和转录基因组-蛋白质组数据,改进域识别和数据拒绝.

更多相关视频

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

657

相关实验视频

Last Updated: May 20, 2026

Revealing Neural Circuit Topography in Multi-Color
09:11

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

15.5K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.5K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

657

科学领域:

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

背景情况:

  • 空间测序技术允许在组织片内同时进行转录基因和表观基因分析.
  • 了解细胞微环境需要对空间多omics数据进行整合性分析.
  • 目前的方法缺乏有效的方法来整合各种空间多学科数据集.

研究的目的:

  • 开发一个有效的计算模型,用于整合空间多omics数据.
  • 加强空间领域的识别,提高空间多学科研究中的数据质量.
  • 解决分析复杂空间多omics数据集的现有方法的局限性.

主要方法:

  • 提出了SpaMI,一个基于图形神经网络的模型.
  • 利用对比式学习策略从单个omics数据中提取特征.
  • 采用注意力机制来整合跨不同omics层的功能.
  • 将模型应用于模拟数据和真实空间表观基因组-转录基因组和转录基因组-蛋白质组数据集.

主要成果:

  • 与最先进的方法相比,SpaMI在识别空间域方面表现优越.
  • 该模型有效地拒绝了空间多组数据.
  • 成功应用于模拟和现实世界的空间多组数据集,包括表观基因组-转录基因组和转录基因组-蛋白质组数据.

结论:

  • SpaMI提供了一种强大而有效的方法,用于对空间多领域数据的综合分析.
  • 该模型通过能够对集成的空间奥米克特征进行强有力的分析来推进对细胞微环境的理解.
  • 在多领域研究中,SpaMI代表了空间域识别和数据拒绝的显著改进.