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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

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相关实验视频

Updated: Jul 4, 2025

Author Spotlight: Deciphering the Cellular Mysteries of Intermuscular Adipose Tissue in Humans
05:59

Author Spotlight: Deciphering the Cellular Mysteries of Intermuscular Adipose Tissue in Humans

Published on: May 3, 2024

698

scCAN:对单细胞RNA-Seq数据使用适应性邻居计算方法进行集群.

Shujie Dong, Yuansheng Liu, Yongshun Gong

    IEEE/ACM transactions on computational biology and bioinformatics
    |January 29, 2024
    PubMed
    概括

    我们开发了scCAN,这是一种用于单细胞RNA测序 (scRNA-seq) 数据的新型归算方法. scCAN有效地解决了学事件,改善了细胞异质性研究的下游分析性能.

    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) 对于分析细胞异质性至关重要.
    • 在scRNA-seq的技术限制导致脱落事件,导致基因表达值为零.
    • 准确的赋值这些零值对于可靠的下游分析至关重要.

    研究的目的:

    • 引入scCAN,用于scRNA-seq数据的新归算方法.
    • 为了解决基因表达矩阵中脱落事件的挑战.
    • 通过改进掉入归算,提高下游分析的准确性.

    主要方法:

    • scCAN使用自适应性社区聚类来估计零基因表达值.
    • 该方法代地改进了细胞与细胞的相似性,聚类结构和拉普拉斯矩阵约束.
    • 采用一种新的方法来更新相似性信息以改善归算.

    主要成果:

    • 在模拟和真实scRNA-seq数据集中,scCAN在赋值脱落零值方面表现出卓越的性能.
    • 下游分析,包括细胞聚类和轨迹重建,显示scCAN显著改善.
    • 对比评估证实scCAN的性能优于现有的归算方法.

    更多相关视频

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    Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets
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    Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

    Published on: July 18, 2019

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    相关实验视频

    Last Updated: Jul 4, 2025

    Author Spotlight: Deciphering the Cellular Mysteries of Intermuscular Adipose Tissue in Humans
    05:59

    Author Spotlight: Deciphering the Cellular Mysteries of Intermuscular Adipose Tissue in Humans

    Published on: May 3, 2024

    698
    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

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    Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets
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    Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

    Published on: July 18, 2019

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    结论:

    • scCAN提供了一种强大而有效的解决方案,用于处理scRNA-seq数据中的脱落事件.
    • 该方法提高了scRNA-seq数据分析的可靠性和准确性.
    • scCAN对于研究细胞异质性的研究人员来说是一个有价值的工具.