Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models.

ABSTRACT: Immunoglobulin-A-nephropathy (IgAN) is a kidney disease caused by the accumulation of IgAN deposits in the kidneys, which causes inflammation and damage to the kidney tissues. Various bioinformatics analysis-based approaches are widely used to predict novel candidate genes and pathways associated with IgAN. However, there is still some scope to clearly explore the molecular mechanisms and causes of IgAN development and progression. Therefore, the present study aimed to identify key candidate genes for IgAN using machine learning (ML) and statistics-based bioinformatics models. First, differentially expressed genes (DEGs) were identified using limma, and then enrichment analysis was performed on DEGs using DAVID. Protein-protein interaction (PPI) was constructed using STRING and Cytoscape w

SUBMITTER: Al Mehedi Hasan M 

PROVIDER: S-EPMC9385868 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature