首页> 中文期刊> 《电子科技学刊》 >COVID-19 Related Research by Data Mining in Single Cell Transcriptome Profiles

COVID-19 Related Research by Data Mining in Single Cell Transcriptome Profiles

         

摘要

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.

著录项

  • 来源
    《电子科技学刊》 |2021年第1期|1-5|共5页
  • 作者单位

    1. Institute of Fundamental and Frontier Sciences;

    University of Electronic Science and Technology of China 2. School of Medical Informatics;

    Chung Shan Medical University 3. IT Office;

    Chung Shan Medical University Hospital;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 肺炎;
  • 关键词

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