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RNA-seq

RNA-seq

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...

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相关实验视频

Updated: Jul 25, 2025

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

scASGC:一种自适应的简化图形卷积模型,用于集群单细胞RNA-seq数据.

Shudong Wang¹, Yu Zhang¹, Yulin Zhang²

¹College of Computer Science and Technology, Qingdao Institute of Software, China University of Petroleum, Qingdao, 266580, China.

Computers in biology and medicine

|June 26, 2023

概括

scASGC是一种自适应简化的图形卷积方法,在单细胞RNA测序 (scRNA-seq) 数据中准确地聚类细胞. 这种方法克服了现有方法的局限性,改善了细胞亚群识别和标记基因发现.

关键词:

生物信息学是一种生物信息学.集群集成是指集群集成.计算生物学是一种计算生物学.图形的卷积可以表示.机器学习是机器学习.这就是ScRNA-seqq.

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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

相关实验视频

Last Updated: Jul 25, 2025

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Single-cell RNA-Seq of Defined Subsets of Retinal Ganglion Cells

Published on: May 22, 2017

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

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:

单细胞RNA测序 (scRNA-seq) 可以识别细胞异质性和发育轨迹.
准确的细胞亚种群识别对于scRNA-seq数据分析至关重要.
现有的无监督集群方法在数据丢失,高维度和计算时间方面扎,通常无法捕获细胞-细胞关联.

研究的目的:

引入scASGC,一种用于scRNA-seq数据的新型无监督集群方法.
解决现有的集群技术的局限性,包括速度和准确性.
改善细胞亚群和潜在的细胞与细胞相互作用的识别.

主要方法:

开发了scASGC,一个自适应的简化图形卷积模型.
构建细胞图表以表示细胞关系.
采用简化的图形卷积模型用于邻近信息聚合.
实现了对各种图形的最佳卷积层的自适应性确定.

主要成果:

在12个公共数据集中,scASGC与经典和最先进的集群方法相比表现优越.
该方法有效地在小鼠肠道肌肉数据集 (15,983 个细胞) 中识别了不同的标记基因.
scASGC为scRNA-seq数据集群提供了一种更有效,更准确的方法.

结论:

scASGC为无监督的scRNA-seq数据集群提供了强大而高效的解决方案.
该方法增强了细胞异质性和新细胞亚群的发现.
scASGC可以从复杂的单细胞数据集中获得更精确的生物学见解.