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

Neuronal genetic risk within the multicellular landscape of schizophrenia.

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology·2026
Same author

BDNF-DT and BDNF-AS-DT: novel genes in the BDNF locus.

Molecular psychiatry·2026
Same author

Top-down control of sustained attention by medial prefrontal cortex-locus coeruleus (mPFC-LC) projection neurons during the rodent continuous performance test (rCPT).

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology·2026
Same author

Perturbation of genes linked to common schizophrenia risk variants identifies cilia programs.

bioRxiv : the preprint server for biology·2026
Same author

SpatialArtifacts: a computational framework for tissue artifact detection in spatial transcriptomics data.

bioRxiv : the preprint server for biology·2026
Same author

Mapping spatially organized molecular and genetic signatures of schizophrenia across multiple scales in human prefrontal cortex.

bioRxiv : the preprint server for biology·2026

相关实验视频

Updated: May 28, 2025

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

4.8K

整合跨组织和个体的空间分辨率转录学数据:挑战和机遇

Boyi Guo1, Wodan Ling2, Sang Ho Kwon3,4,5

  • 1Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA.

Small methods
|February 12, 2025
PubMed
概括

空间分辨率转录学 (SRT) 数据集成面临着独特的挑战,因为分辨率各不相同. 这项研究回顾了计算方法,并强调了推进亚特拉斯规模分析和可重复性的机会.

关键词:
综合性分析是一种综合性分析.多个样本的样本.在人口层面上.空间对齐的空间对齐空间登记是指空间登记.空间分辨率的转录组学

更多相关视频

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

2.5K
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

2.1K

相关实验视频

Last Updated: May 28, 2025

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

4.8K
Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics
07:43

Author Spotlight: Exploring Advanced Therapeutic Targets in Osteosarcoma Through Spatial Transcriptomics

Published on: May 3, 2024

2.5K
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

2.1K

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:

  • 空间分辨率转录学 (SRT) 技术正在迅速发展,使详细的生物学见解成为可能.
  • 降低成本有助于创建大规模的地图集和整合各种SRT数据的人口水平研究.
  • 整合跨组织,个体,物种或表型的SRT数据带来了独特的计算挑战.

研究的目的:

  • 描述SRT数据集成的独特挑战.
  • 描述不同空间和生物分辨率的分析影响.
  • 审查现有的空间意识集成方法和计算策略.

主要方法:

  • 来自空间和生物分辨率变化的分析影响的表征.
  • 审查当前的空间意识的整合方法.
  • 探索用于SRT数据集成的计算策略.

主要成果:

  • 识别和描述了SRT数据集成的独特挑战.
  • 描述了分辨率变化对SRT数据分析的影响.
  • 提供了有关计算方法和策略的综述.

结论:

  • 推进阿特拉斯规模数据集的计算算法至关重要.
  • 需要标准化的预处理方法来提高灵敏度和可重复性.
  • 未来的工作重点应该是开发用于大规模SRT数据集成的可靠方法.