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

Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

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

A spatially resolved atlas of gastric cancer characterises a lymphocyte-aggregated region.

Nature communications·2026
Same author

DRED: A Comprehensive Database of Genes Related to Repeat Expansion Diseases.

Genomics, proteomics & bioinformatics·2024
Same author

Spatial transcriptomics deconvolution at single-cell resolution using Redeconve.

Nature communications·2023
Same author

Rapid and signal crowdedness-robust in situ sequencing through hybrid block coding.

Proceedings of the National Academy of Sciences of the United States of America·2023
Same author

Pan-cancer single-cell landscape of tumor-infiltrating T cells.

Science (New York, N.Y.)·2021
Same author

PEG10 amplification at 7q21.3 potentiates large-cell transformation in cutaneous T-cell lymphoma.

Blood·2021

相关实验视频

Updated: Jun 22, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

6.7K

计算策略和算法用于推断空间转录学数据的细胞组成.

Xiuying Liu1, Xianwen Ren1

  • 1Changping Laboratory, Beijing 102206, China.

Genomics, proteomics & bioinformatics
|August 7, 2024
PubMed
概括

空间转录学揭示了组织结构,但缺乏直接的细胞数据. 本综述涵盖了推断空间点中的细胞比例的计算方法,指导未来的研究.

科学领域:

  • 分子生物学分子生物学
  • 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:

  • 空间转录学对于理解分子层面的组织组织至关重要.
  • 目前的空间技术捕获的分子数据在斑点,而不是单个细胞.
  • 需要准确的细胞组成推断来解释空间转录学数据.

研究的目的:

  • 审查最近计算方法的进展,以估计空间点中的细胞比例.
  • 确定空间转录学数据分析的未来研究方向.

主要方法:

  • 对空间转录学数据解卷的计算算法和统计模型的审查.
  • 对有关细胞类型解技术的现有文献进行分析.
  • 不同计算策略的比较评估.

主要成果:

  • 关于细胞比例估计的最先进的计算方法的总结.
  • 确定当前解体方法中的关键挑战和局限性.
  • 突出新兴趋势和该领域的潜在突破.

结论:

  • 细胞组成的计算推断对于空间转录学是必不可少的.
关键词:
细胞类型分解细胞类型分解细胞组成 细胞组成单细胞测序是一种单细胞测序.空间转录组学 空间转录组学现货解盘是指点位解盘.

更多相关视频

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.5K
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

4.9K

相关实验视频

Last Updated: Jun 22, 2026

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

6.7K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.5K
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

4.9K
  • 持续开发强大的解卷算法至关重要.
  • 未来的工作应该专注于提高这些方法的准确性和可扩展性.