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

10.0K
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...
10.0K

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 disentangled transformer-based transfer learning framework to predict patient drug response from tumor single-cell transcriptomics.

Bioinformatics (Oxford, England)·2026
Same author

FluNexus: A versatile web platform for antigenic prediction and visualization of influenza A viruses.

iMeta·2026
Same author

Mosaic integration of spatial multi-omics with SpaMosaic.

Nature genetics·2026
Same author

Artificial Intelligence Powers Protein Functional Annotation.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

scCMA: A Contrastive Masked Autoencoder Framework for Robust Representation Learning of scRNA-seq Data.

Interdisciplinary sciences, computational life sciences·2026
Same author

NanoLoop: A Deep Learning Framework Leveraging Nanopore Sequencing for Chromatin Loop Prediction.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

相关实验视频

Updated: Jul 5, 2025

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

scMAE:用于单细胞RNA-seq集群的蒙面自编码器.

Zhaoyu Fang1, Ruiqing Zheng1, Min Li1

  • 1School of Computer Science and Engineering, Central South University, 932 South Lushan Road, Yuelu District, Changsha 410083, China.

Bioinformatics (Oxford, England)
|January 17, 2024
PubMed
概括

我们介绍了scMAE,这是一种用于单细胞RNA测序 (scRNA-seq) 数据分析的新型掩盖自编码方法. scMAE通过学习基因相关性来改善细胞聚类,优于现有的方法并识别罕见的细胞类型.

科学领域:

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

背景情况:

  • 单细胞RNA测序 (scRNA-seq) 可以在单个细胞水平上进行基因表达分析.
  • 聚类scRNA-seq数据对于识别细胞类型和理解细胞异质性至关重要.
  • 现有的深度学习方法往往无法利用基因相关性,从而限制了聚类准确性.

研究的目的:

  • 开发一种基于深度学习的新方法,用于scRNA-seq数据集群.
  • 通过有效捕获基因对基因相关性来改善细胞亚群的识别.
  • 为了提高复杂的生物样本中罕见细胞类型的检测.

主要方法:

  • 拟议的scMAE,一种基于scRNA-seq数据的掩盖自编码器方法.
  • scMAE重建了扰乱的基因表达数据,以学习强大的细胞表征.
  • 自动编码器内的掩盖预测器捕获了基因间的关系.

主要成果:

  • 与最先进的方法相比,scMAE在15个scRNA-seq数据集中表现出更高的性能.
  • 该方法有效地识别了基因表达数据中的潜在结构和依赖关系.
  • scMAE成功地识别了罕见的细胞类型,这些细胞类型通常被其他聚类方法遗漏.

更多相关视频

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
Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy
04:21

Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy

Published on: January 19, 2024

2.9K

相关实验视频

Last Updated: Jul 5, 2025

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
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
Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy
04:21

Author Spotlight: Vascular Tissue Dissociation and Exploring Single-Cell Subclusters for Targeted Therapy

Published on: January 19, 2024

2.9K
  • 生物验证证实了已识别的细胞亚群的重要性.

    • 结论:

    • scMAE通过整合基因相关信息,为scRNA-seq数据集群提供了一种有效的策略.
    • 该方法促进了细胞类型的识别和细胞异质性的探索.
    • scMAE在需要敏感检测罕见细胞群的应用中表现有前途.