scValue:用于机器和深度学习任务的大规模单细胞转录组数据的基于值的分样采集
Li Huang1, Weikang Gong1,2, Dongsheng Chen1
1State Key Laboratory of Common Mechanism Research for Major Diseases, Suzhou Institute of Systems Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College, 100 Chongwen Road, Suzhou Industrial Park, Suzhou, Jiangsu Province 215123, China.
Briefings in bioinformatics
|June 14, 2025
概括
scValue是一种用于分样大单细胞RNA测序 (scRNA-seq) 数据集的新方法. 它优先考虑高价值的细胞,改进机器学习和深度学习任务,同时保持生物信号.
科学领域:
- 计算生物学 计算生物学
- 基因组学就是基因组学.
- 机器学习 机器学习
背景情况:
- 大型单细胞RNA测序 (scRNA-seq) 数据集提供了深刻的生物学见解,但也带来了重大的计算挑战.
- 现有的部分采样技术可以提高效率,但可能会损害下游机器学习和深度学习 (ML/DL) 分析的性能.
研究的目的:
- 介绍scValue,一种新的细胞排名方法,用于高效有效地对大型scRNA-seq数据进行分样.
- 通过保护关键的生物信号和改善亚样本中的细胞类型表示来增强ML/DL工作流.
主要方法:
- 开发了scValue,该方法根据"数据值"对单元格进行排名,使用随机森林的袋外估计.
- 优先考虑的高值细胞和过量采样的细胞类型,具有更大的数据值可变性.
- 在细胞类型注释,标签转移学习,交叉研究标签协调和大量RNA-seq解卷任务上进行基准 scValue.
主要成果:
- 在自动单元格类型注释任务中,scValue的表现始终优于现有的部分采样方法,实现了接近完整数据分析的性能.
- 在案例研究中证明了T细胞注释的优越保存和T细胞亚型关系的准确复制.
- 在16个公共数据集上进行评估,scValue显示出快速执行,平衡的细胞类型表示和类似于统一抽样的分布性质.
结论:
- 在ML/DL应用中,scValue提供了一种强大且可扩展的解决方案,用于在ML/DL应用中进行大型scRNA-seq数据集的分样.
- 该方法有效地保护了生物信号,并提高了下游分析的性能.
- scValue可以作为一个开源的Python包.
相关概念视频
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02:26Comparing Copy Number Variations and SNPs
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Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
03:21RNA-seq
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Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
01:58Cell Specific Gene Expression
Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...