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

页码：1418 / 1419

页数：2

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