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

Spatial co-expression and cell-cell communication inference from spatially resolved transcriptomics with CONCISE.

bioRxiv : the preprint server for biology·2026
Same author

A unified framework for selecting and evaluating cell-type-specific gene co-expressions in single-cell data.

Briefings in bioinformatics·2026
Same author

MIXPRS enables multi-population and multi-method polygenic risk scores using summary statistics.

Nature genetics·2026
Same author

Identification of multi-omic pleiotropy factors for peripheral artery disease.

Human molecular genetics·2026
Same author

Multi-ancestry transcriptome-wide association studies uncover insights into breast cancer genetics and biology.

Nature communications·2026
Same author

Loss of Cyclin G-Associated Kinase (Gak) Leads to Lysosome Dysfunction and Immune Modulation in Podocytes.

Journal of the American Society of Nephrology : JASN·2026
Same journal

A human-specific genetic modifier reconfigures large-scale cortical network dynamics underlying behavioral performance.

bioRxiv : the preprint server for biology·2026
Same journal

<i>Staphylococcus aureus</i> uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis.

bioRxiv : the preprint server for biology·2026
Same journal

Dynamic redistribution of eIF4F controls cap-dependent translation initiation.

bioRxiv : the preprint server for biology·2026
Same journal

When does additional information improve accuracy of RNA secondary structure prediction?

bioRxiv : the preprint server for biology·2026
Same journal

Normative brain-state trajectories reveal deviation from healthy aging in Alzheimer's disease.

bioRxiv : the preprint server for biology·2026
Same journal

Noradrenergic infraslow rhythm during sleep is the critical link between heart-rate dynamics and memory consolidation.

bioRxiv : the preprint server for biology·2026
查看所有相关文章

相关实验视频

Updated: Jan 11, 2026

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

5.3K

scGPD:为目标空间转录组学设计单细胞基因面板.

Yunshan Guo1, Jia Zhao1, Rui B Chang2,3

  • 1Department of Biostatistics, School of Public Health, Yale University, New Haven, CT, USA.

bioRxiv : the preprint server for biology
|November 19, 2025
PubMed
概括
此摘要是机器生成的。

我们开发了scGPD,这是一个深度学习工具,用于选择空间转录组学的信息基因组. 它识别了紧的,非冗余的基因组,改善了细胞类型分类和空间分析.

更多相关视频

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

7.0K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

626

相关实验视频

Last Updated: Jan 11, 2026

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

5.3K
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

7.0K
Mining Spatial Transcriptomics Datasets using DeepSpaceDB
10:16

Mining Spatial Transcriptomics Datasets using DeepSpaceDB

Published on: September 5, 2025

626

科学领域:

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

背景情况:

  • 选择信息性的基因组是有针对性的空间转录组学至关重要的.
  • 现有的方法往往忽略了基因与基因的相关性,导致未达到最佳的组织异质性捕获.

研究的目的:

  • 引入scGPD,这是一个深度学习框架,用于设计用于空间分析的高效基因面板.
  • 为了解决当前基因小组选择方法的局限性.

主要方法:

  • scGPD利用了单细胞RNA测序数据.
  • 它采用基因对基因相关性意识的关门机制来选择紧的,非冗余的基因组.
  • 该框架旨在提供灵活性和适应性.

主要成果:

  • scGPD在恢复有限基因的转录组全表达方面优于现有方法.
  • 它在空间转录组学数据上实现了卓越的细胞类型分类准确性.
  • 精选的基因面板显示了明确的空间表达模式.

结论:

  • scGPD提供了一个强大的,适应性的解决方案,用于设计空间转录组的基因组.
  • 该框架通过实现高效的空间分析来增强组织绘图和疾病特征.
  • scGPD有助于对特定疾病或表型相关的基因进行优先排序.