Studying RNA dynamics from single-cell RNA sequencing snapshots

被引：0
|
作者：
Carilli, Maria [1 ]
Pachter, Lior [1 ]
机构：
[1] CALTECH, Pasadena, CA 91125 USA
来源：
NATURE METHODS | 2024年 / 21卷 / 08期
关键词：
D O I：
10.1038/s41592-024-02366-8
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
Rapid advancements in transcriptomics have enabled the quantification of individual transcripts for thousands of genes in millions of single cells. By coupling a machine learning inference framework with biophysical models describing the RNA life cycle, we can explore the dynamics driving RNA production, processing and degradation across cell types.
引用
收藏
页码：1418 / 1419
页数：2
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