RNA序列
生物
计算生物学
转录组
差速器(机械装置)
基因
基因表达
计算机科学
遗传学
工程类
航空航天工程
作者
Xiaochuan Guo,Jin Ning,Yuanze Chen,Guoliang Liu,Liang Zhao,Yue Fan,Shaodong Sun
出处
期刊:Briefings in Functional Genomics
[Oxford University Press]
日期:2023-04-05
被引量:1
摘要
Abstract Differential expression (DE) analysis is a necessary step in the analysis of single-cell RNA sequencing (scRNA-seq) and spatially resolved transcriptomics (SRT) data. Unlike traditional bulk RNA-seq, DE analysis for scRNA-seq or SRT data has unique characteristics that may contribute to the difficulty of detecting DE genes. However, the plethora of DE tools that work with various assumptions makes it difficult to choose an appropriate one. Furthermore, a comprehensive review on detecting DE genes for scRNA-seq data or SRT data from multi-condition, multi-sample experimental designs is lacking. To bridge such a gap, here, we first focus on the challenges of DE detection, then highlight potential opportunities that facilitate further progress in scRNA-seq or SRT analysis, and finally provide insights and guidance in selecting appropriate DE tools or developing new computational DE methods.
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