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Identification of the susceptibility genes for COVID-19 in lung adenocarcinoma with global data and biological

Li Gao1, Guo-Sheng Li1, Jian-Di Li1

  • 1Department of Pathology, The First Affiliated Hospital of Guangxi Medical University, No. 6 Shuangyong Rd, Nanning, Guangxi Zhuang Autonomous Region 530021, PR China.

Computational and Structural Biotechnology Journal
|November 29, 2021
PubMed
Abstract

Keywords:
CI, confidence intervalCOVID-19COVID-19, coronavirus disease 2019DEGDEG, differentially expressed genesFC, fold changeFPKM, fragments per kilobase per millionGTEx, Genotype-tissue ExpressionHPA, human protein atlasIHC, immunohistochemistryImmune infiltrationLUADLUAD, lung adenocarcinomaPPI, protein-to-protein interactionSARS-CoV-2, severe acute respiratory syndrome coronavirus 2SMD, standard mean differenceSROC, summarized receiver’s operating characteristicsSusceptibilityTF, transcription factorTPM, transcripts per million readsWGCNAWGCNA, weighted gene co-expression network analysis

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