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Development of a Prognostic Model Based on Differentially Expressed Immune Genes of Lung Adenocarcinoma

2021-10-18

Abstract excerpt

Due to the enormous heterogeneity and molecular complexity, the efficacy of existing lung adenocarcinoma risk prediction models were less than satisfactory. In this study, we downloaded the immune-related genes were from InnateDB, and the differentially expressed immune genes (DEIGs) were analyzed with edgeR and DESeq2 algorithm. In total, 1359 DEIGs were identified. Cytoscape was employed to build a mRNA-miRNA-ln...

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Literature Corpus work
7528aaa3-d6fa-5eda-b34b-0c6011662e6a
DOI
10.21203/rs.3.rs-966516/v1
Open publication

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Development of a Prognostic Model Based on Differentially Expressed Immune Genes of Lung AdenocarcinomaDOI 10.21203/rs.3.rs-966516/v1
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