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

RNA-seq03:21

RNA-seq

12.3K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
12.3K

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

Gene-Modulated Network Diffusion for Improved Modeling of Amyloid- <math><mi>β</mi></math> Spread in Alzheimer's Disease.

bioRxiv : the preprint server for biology·2026
Same journal

Large-scale discovery and annotation of substructure patterns in mass spectrometry profiles.

Nature communications·2026
Same journal

Salmonella SopB suppresses post-transcriptionally regulated cytokine release to reduce early tissue inflammation and delay disease progression.

Nature communications·2026
Same journal

A human-specific microRNA controls the timing of excitatory synaptogenesis.

Nature communications·2026
Same journal

An HMA-like integrated domain in the wheat tandem kinase WTK4 recognises an RNase-like pathogen effector.

Nature communications·2026
Same journal

Learning regularities in noise engages both neural predictive activity and representational changes.

Nature communications·2026
Same journal

The H3K4 methyltransferase KMT2D is an essential cofactor for GATA1 at erythroid gene enhancers.

Nature communications·2026
查看所有相关文章

相关实验视频

Updated: Mar 3, 2026

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

2.0K

scMODAL:一个通用的深度学习框架,用于全面的单细胞多omics数据与特征链接的整合.

Gefei Wang1, Jia Zhao1, Yingxin Lin1

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

Nature communications
|May 29, 2025
PubMed
概括
此摘要是机器生成的。

scMODAL是一个新的深度学习框架,用于整合单细胞多omics数据. 它有效地对齐各种数据集,使得人们更好地了解细胞功能和疾病机制.

更多相关视频

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.2K
Analysis of Multidimensional Microscopy Data Using Cell-ACDC
06:17

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Published on: November 7, 2025

648

相关实验视频

Last Updated: Mar 3, 2026

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

2.0K
Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.2K
Analysis of Multidimensional Microscopy Data Using Cell-ACDC
06:17

Analysis of Multidimensional Microscopy Data Using Cell-ACDC

Published on: November 7, 2025

648

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:

  • 单细胞技术通过转录基因,表观基因和蛋白质基因分析为细胞状态提供了深入的见解.
  • 整合多omics数据对于理解复杂的细胞功能和疾病机制至关重要.
  • 由于技术限制和各种特征相关性,现有的计算方法在调整多样化的单细胞欧米克数据集方面面临挑战.

研究的目的:

  • 引入scMODAL,这是一个新的深度学习框架,用于单细胞多omics数据集成.
  • 为了应对与已知特征相关性有限的数据集对齐的挑战.
  • 提供一个强大的计算解决方案,以推进单细胞多omics研究.

主要方法:

  • scMODAL使用了一个深度学习框架,包括神经网络和生成对抗网络.
  • 该方法采用特征链接来对齐细胞嵌入在不同的欧米克模式.
  • 它旨在处理具有有限正相关特征的数据集.

主要成果:

  • scMODAL有效地消除了不必要的变异,同时在集成数据集中保留了生物信息.
  • 该框架准确地识别了不同单细胞多omics数据集中的细胞亚群.
  • 实验证明了框架在数据对齐和维护特征拓方面的能力.

结论:

  • scMODAL提供了一种强大的方法来整合单细胞多omics数据,即使具有有限的特征相关性.
  • 该框架有助于下游分析,包括特征归算和关系推断.
  • scMODAL在单细胞多组学研究中的计算分析方面取得了重大进展.