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

iPS Cell Differentiation01:22

iPS Cell Differentiation

2.8K
The ability of induced pluripotent stem cells or iPSCs to differentiate into most body cell types has stimulated repair and regenerative medicine research over the past few decades. iPSC-derived blood cells, hepatocytes, beta islet cells, cardiomyocytes, neurons, and other cell types can repair injuries or regenerate damaged tissue in diseases such as diabetes and neurodegenerative disorders.
2.8K

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

Direct contact between iPSC-derived macrophages and hepatocytes drives reciprocal acquisition of Kupffer cell identity and hepatocyte maturation.

eLife·2026
Same author

Ketogenic Diet Alleviates Colorectal Cancer by Attenuating Macrophage M2 Polarisation Triggered by Oncometabolite MMA Derived From the Gut Microbiota.

Cell proliferation·2026
Same author

AI-guided prediction of ncRNA biochemical features for therapeutic targeting.

Trends in pharmacological sciences·2026
Same author

Mosaic integration of spatial multi-omics with SpaMosaic.

Nature genetics·2026
Same author

YOLO-SDA: an innovative YOLOv12-derived model with superior performance in recognizing peanut foliar diseases.

Frontiers in plant science·2026
Same author

Molecular subtyping and prognostic modeling of non-small cell lung cancer based on disulfidptosis-related genes.

Translational cancer research·2026
Same journal

Tranquillyzer: A Neural Network Framework for Long-read Annotation and Demultiplexing.

Genomics, proteomics & bioinformatics·2026
Same journal

Advancing Functional Transcriptomics in Zebrafish with High-accuracy Full-length RNA Sequencing.

Genomics, proteomics & bioinformatics·2026
Same journal

NanoRAPID: A Deep Learning-based Framework for Single-molecule RNA Structure Analysis Using Nanopore Direct RNA Sequencing.

Genomics, proteomics & bioinformatics·2026
Same journal

Single-cell Multiomic and Spatiotemporal Dissection of the Liver Circadian Clock.

Genomics, proteomics & bioinformatics·2026
Same journal

π-HelixNovo2: Making Accurate Online De Novo Peptide Sequencing Available to All.

Genomics, proteomics & bioinformatics·2026
Same journal

CTSC-RAB38 Potentiates Responsiveness to PD-1 Blockade in Esophageal Squamous Cell Carcinoma.

Genomics, proteomics & bioinformatics·2026
查看所有相关文章

相关实验视频

Updated: Sep 12, 2025

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

691

ACE:为单细胞马赛克集成提供多功能对比学习框架.

Xuhua Yan1, Jinmiao Chen2,3,4, Ruiqing Zheng1

  • 1School of Computer Science and Engineering, Central South University, Changsha 410083, China.

Genomics, proteomics & bioinformatics
|August 4, 2025
PubMed
概括
此摘要是机器生成的。

Align and CompletE (ACE) 是一个新的框架,用于整合单细胞多omics数据. 它有效地处理不同类型的数据,并增强细胞差异的表示,即使数据不完整.

关键词:
相反的学习学习.计入计算是指计入计算的方法.马赛克集成的整合多个omics的多个omics.一个单细胞的单细胞.

更多相关视频

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

6.7K
Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM
09:25

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM

Published on: May 8, 2020

10.8K

相关实验视频

Last Updated: Sep 12, 2025

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging
11:38

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

691
Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
09:56

Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging

Published on: April 30, 2019

6.7K
Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM
09:25

Lineage Tracing and Clonal Analysis in Developing Cerebral Cortex Using Mosaic Analysis with Double Markers MADM

Published on: May 8, 2020

10.8K

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:

  • 单细胞多组数据集成对于理解细胞异质性至关重要.
  • 马赛克集成带来了挑战,原因是数据集中的模式丰度差异.

研究的目的:

  • 介绍Align and CompletE (ACE),这是一个新的框架,用于单细胞多omics数据的马赛克集成.
  • 为了应对综合数据集中的模式丰度差异的挑战.

主要方法:

  • ACE采用两种策略:模式对齐 (ACE-align) 和回归 (ACE-spec).
  • ACE-align使用对比式学习来实现显式模式对齐和共享隐藏表示.
  • ACE-spec结合了对齐和模式特定的表示,以获得完整的多omics数据.

主要成果:

  • 在各种马赛克集成场景中,ACE在现有方法中表现出优越的性能.
  • ACE-spec有效地增强了数据集中细胞异质性的表现,其中数据集的模式不完整.
  • 实验验证实了ACE在双模和三模集成中的有效性.

结论:

  • ACE提供了一个强大的框架,用于单细胞多omics数据的马赛克集成.
  • 该ACE框架,特别是ACE-spec,改善了从不完整的多omics数据集的细胞异质性的理解.