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Updated: Jun 24, 2025

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通过批量基因表达数据评估单细胞RNASeq数据的转录组异质性

Khong-Loon Tiong1, Dmytro Luzhbin1, Chen-Hsiang Yeang2

  • 1Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.

BMC bioinformatics
|June 12, 2024
PubMed
概括

本研究引入了倒向解卷,这是一个新的框架,集成了批量和单细胞RNA测序数据,以增强转录组异质性分析. 它有效地选择解卷算法,并模拟复杂组织中的细胞类型组成.

关键词:
解体解体是一种解体.异质性 异质性 异质性可能性的图形模型.单细胞 RNASeq 数据数据

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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. 
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