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COVID-19 Related Research by Data Mining in Single Cell Transcriptome Profiles
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作者 Zi-Wei Wang Chi-Chang Chang Quan Zou 《Journal of Electronic Science and Technology》 CAS CSCD 2021年第1期1-5,共5页
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,th... 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. 展开更多
关键词 Coronavirus disease 2019(COVID-19) BIOINFORMATICS data mining single cell sequencing
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