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

Zi-Wei Wang Chi-Chang Chang Quan Zou

电子科技学刊2021,Vol.19Issue(1):1-5,5.
电子科技学刊2021,Vol.19Issue(1):1-5,5.DOI:10.11989/JEST.1674-862X.20224017

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

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

Zi-Wei Wang 1Chi-Chang Chang 2Quan Zou1

作者信息

  • 1. Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu 610054
  • 2. School of Medical Informatics, Chung Shan Medical University, Taichuang 40201,IT Office, Chung Shan Medical University Hospital, Taichung 40201
  • 折叠

摘要

关键词

Coronavirus disease 2019 (COVID-19)/bioinformatics/data mining/single cell sequencing

Key words

Coronavirus disease 2019 (COVID-19)/bioinformatics/data mining/single cell sequencing

引用本文复制引用

Zi-Wei Wang,Chi-Chang Chang,Quan Zou..COVID-19 Related Research by Data Mining in Single Cell Transcriptome Profiles[J].电子科技学刊,2021,19(1):1-5,5.

基金项目

The work was supported by the National Key R&D Program of China under Grant No.2018YFC0910405 ()

the National Natural Science Foundation of China under Grants No.61922020,No.61771331,and No.91935302. ()

电子科技学刊

OACSCD

1674-862X

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