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Identification of candidate biomarkers and pathways associated with type 1 diabetes mellitus using bioinformatics analysis

1 Jun 2022

Abstract excerpt

Type 1 diabetes mellitus (T1DM) is a metabolic disorder for which the underlying molecular mechanisms remain largely unclear. This investigation aimed to elucidate essential candidate genes and pathways in T1DM by integrated bioinformatics analysis. In this study, differentially expressed genes (DEGs) were analyzed using DESeq2 of R package from GSE162689 of the Gene Expression Omnibus (GEO). Gene ontology (GO)...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 35650387
DOI: 10.1038/s41598-022-13291-1

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