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相关概念视频

RNA-seq03:21

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 microarray-based...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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DeepCCI:一个深度学习框架,用于从单细胞RNA测序数据中识别细胞与细胞之间的相互作用.

Wenyi Yang1, Pingping Wang1, Meng Luo1

  • 1School of Life Science and Technology, Harbin Institute of Technology, Harbin 150006, China.

Bioinformatics (Oxford, England)
|September 23, 2023
PubMed
概括
此摘要是机器生成的。

DeepCCI是一个新的深度学习框架,从单细胞RNA测序数据准确识别细胞与细胞相互作用 (CCI). 该工具有效地预测了重要的细胞间连接,并建立了CCI网络,克服了当前统计方法的局限性.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 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:

  • 细胞与细胞相互作用 (CCI) 对生物过程如分化和免疫反应至关重要.
  • 高通量单细胞RNA测序 (scRNA-seq) 产生了大量的数据集,用于研究CCI.
  • 现有的统计方法在scRNA-seq数据的稀疏性和异质性方面扎,缺少关键信息.

研究的目的:

  • 开发一个深度学习框架,DeepCCI,用于从scRNA-seq数据中识别有意义的CCI.
  • 解决当前计算方法在分析稀疏和异质scRNA-seq数据方面的局限性.
  • 为发现细胞间相互作用和构建CCI网络提供强大且易于使用的工具.

主要方法:

  • 开发了一个名为DeepCCI的深度学习框架.
  • 将DeepCCI应用于多样化,公开可用的scRNA-seq数据集.
  • 评估了DeepCCI在预测重大CCI方面的表现.

主要成果:

  • 深CCI准确有效地预测了重要的细胞相互作用.
  • 演示了DeepCCI在各种scRNA-seq技术和平台上的能力.
  • 该框架成功地确定了有意义的细胞间连接,并建立了CCI网络.

结论:

  • DeepCCI提供了一种强大的深度学习解决方案,用于从scRNA-seq数据中识别CCI.
  • 该软件提供了一个灵活,易于使用的平台,用于全面的CCI发现.
  • DeepCCI克服了以前的算法限制,使复杂的生物相互作用能够更有效地分析.