COVID-19 Related Research by Data Mining in Single Cell Transcriptome Profiles
Journal of Electronic Science and Technology
; 19(1):1-5, 2021.
Article
in English
| Scopus | ID: covidwho-1215731
ABSTRACT
The outbreak of coronavirus disease 2019 (COVID-2019) has drawn public attention all over the world. As a newly emerging area, single cell sequencing also exerts its power in the battle over the epidemic. In this review, the up-to-date knowledge of COVID-19 and its receptor is summarized, followed by a collection of the mining of single cell transcriptome profiling data for the information in aspects of the vulnerable cell types in humans and the potential mechanisms of the disease. © 2021. All Rights Reserved.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Reviews
Language:
English
Journal:
Journal of Electronic Science and Technology
Year:
2021
Document Type:
Article
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