Editorial: Insights in computational genomics: 2022

被引：1

|

作者：

Emes, Richard D. ^{[1
]}

Pirooznia, Mehdi ^{[2
,3
]}

Zou, Quan ^{[4
]}

Pellegrini, Marco ^{[5
]}

机构：

[1] Nottingham Trent Univ, Nottingham, England

[2] Johns Hopkins Univ, Sch Med, Baltimore, MD USA

[3] R&D Johnson & Johnson, Pharmaceut Data Sci, Boston, MA USA

[4] Univ Elect Sci & Technol China, Inst Fundamental & Frontier Sci, Chengdu, Peoples R China

[5] CNR, Pisa, Italy

来源：

FRONTIERS IN GENETICS | 2023年 / 14卷

关键词：

computational genomics; cancer studies; single cell RNA-seq technology; human genomic variation; deep learning;

D O I：

10.3389/fgene.2023.1256011

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

引用

收藏

页数：2

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