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

CACRC-Pan: A Concept Annotated Case Report Corpus and Processing Pipeline for Rare Pancreatic Diseases.

Studies in health technology and informatics·2026
Same author

Map of death: spatially explicit mortality of the grey wolf.

Proceedings. Biological sciences·2025
Same author

Environmental variability across space and time drives the recolonization pattern of a historically persecuted large carnivore.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Sweden is shooting brown bears in the dark.

Science (New York, N.Y.)·2024
Same author

Lung volume recruitment and airway clearance for children at home in France.

Respiratory medicine·2024
Same author

Sexual segregation results in pronounced sex-specific density gradients in the mountain ungulate, Rupicapra rupicapra.

Communications biology·2023

相关实验视频

Updated: Jun 23, 2025

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

scCross:在多个单细胞样本中高效地搜索罕见子群.

Alexander Gerniers1, Siegfried Nijssen1, Pierre Dupont1

  • 1ICTEAM/INGI/Artificial Intelligence and Algorithms Group, UCLouvain, Louvain-la-Neuve 1348, Belgium.

Bioinformatics (Oxford, England)
|June 18, 2024
PubMed
概括
此摘要是机器生成的。

scCross 在多个单细胞样本中识别罕见细胞亚群,即使有批量效应. 这种双重聚类方法克服了数据集成的局限性,用于强大的罕见细胞检测.

更多相关视频

Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations
10:23

Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations

Published on: January 19, 2017

11.0K
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

3.6K

相关实验视频

Last Updated: Jun 23, 2025

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
Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations
10:23

Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations

Published on: January 19, 2017

11.0K
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

3.6K

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:

  • 单细胞RNA测序 (scRNA-seq) 数据显示了细胞异质性.
  • 聚合多个scRNA-seq样本引入批量效应,复杂化分析.
  • 现有的数据整合方法可能过度纠正,阻碍罕见细胞识别.

研究的目的:

  • 为介绍scCross,一种用于识别多个scRNA-seq样本中罕见细胞亚群的新型双聚类方法.
  • 为了应对在没有事先数据集成的情况下在有批量效应的情况下检测罕见细胞的挑战.

主要方法:

  • scCross采用双聚类方法,重点关注子群体的总和标准.
  • 它通过评估整个亚群来识别具有特定标记基因的细胞,而不是对对细胞进行比较.
  • 该方法旨在对scRNA-seq数据固有的高可变性和批量效应具有稳定性.

主要成果:

  • 在没有先前数据整合的情况下,scCross在肺癌和人类胰腺数据集中成功识别了罕见细胞亚群.
  • 在肺癌细胞中检测到具有潜在的新型纤毛基因的纤毛亚群,这种亚群在替代方法中错过了.
  • 该方法在一个带有诱导批量效应的受控实验中,在识别目标罕见细胞类型方面表现出卓越的性能.

结论:

  • 在多个样本中,scCross有效地识别了由特定基因特征的罕见细胞亚群.
  • 该方法对批量效应具有稳定性,比传统的数据集成技术具有优势.
  • scCross在聚合scRNA-seq研究中探索细胞异质性提供了一个有价值的工具.