Translating single-cell genomics into cell types

被引：1

作者：

Tegner, Jesper N. ^{[1
,2
,3
,4
]}

机构：

[1] King Abdullah Univ Sci & Technol KAUST, Biol & Environm Sci & Engn Div, Thuwal, Saudi Arabia

[2] King Abdullah Univ Sci & Technol KAUST, Comp Elect & Math Sci & Engn Div, Thuwal, Saudi Arabia

[3] Karolinska Inst, Karolinska Univ Hosp, Ctr Mol Med, Dept Med,Unit Computat Med, Stockholm, Sweden

[4] Sci Life Lab, Solna, Sweden

来源：

NATURE MACHINE INTELLIGENCE | 2023年 / 5卷 / 01期

关键词：

10;

D O I：

10.1038/s42256-022-00600-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Machine translation of languages can now automatically detect different cell types from single-cell transcriptomic data. Such a feat opens the prospect of dissecting complex clinical samples such as heterogenous tumours at scale.

引用

页码：11 / 12

页数：2

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