转录组
仿形(计算机编程)
计算生物学
鉴定(生物学)
疾病
可视化
生物
数据科学
计算机科学
生物信息学
基因
基因表达
医学
遗传学
数据挖掘
病理
生态学
操作系统
作者
Yifan Chen,Fan Yang,Jun Pu
标识
DOI:10.1016/j.yjmcc.2020.03.005
摘要
Single-cell RNA sequencing (scRNA-seq), a method of transcriptome sequencing at the single-cell level, has recently emerged as a revolutionary technology in the field of biomedical research. Compared to conventional gene expression profiling in bulk, scRNA-seq resolves biological differences among individual cells and enables the identification of rare cell populations that are easily overlooked. This review introduces the method of scRNA-seq, summarizes its applications in the field of cardiovascular disease research, and discusses existing limitations and prospects for future applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI