{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Chen W"],"funding":["Zhenjiang First People's Hospital Project","Songjiang District Science and Technology Research Project","Zhenjiang First People’s Hospital Project"],"pagination":["3444"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11772853"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["15(1)"],"pubmed_abstract":["Crohn's disease (CD) is a chronic inflammatory bowel disease with an unknown etiology. Ubiquitination plays a significant role in the pathogenesis of CD. This study aimed to explore the functional roles of ubiquitination-related genes in CD. Differentially expressed ubiquitination-related genes were identified by intersecting differentially expressed genes (DEGs) from the GSE95095 dataset in the Gene Expression Omnibus (GEO) database with a set of ubiquitination-related genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. Key genes were selected by combining hub genes from the protein-protein interaction (PPI) network with feature genes identified by Lasso and Random Forest (RF) algorithms. Additionally, the correlation between key genes and"],"journal":["Scientific reports"],"pubmed_title":["Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn's disease by bioinformatics analysis and machine learning."],"pmcid":["PMC11772853"],"funding_grant_id":["22SJKJGG72","YQ2023005"],"pubmed_authors":["Huang Z","Chen W","Feng W","Sun H","Xu Z"],"additional_accession":[]},"is_claimable":false,"name":"Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn's disease by bioinformatics analysis and machine learning.","description":"Crohn's disease (CD) is a chronic inflammatory bowel disease with an unknown etiology. Ubiquitination plays a significant role in the pathogenesis of CD. This study aimed to explore the functional roles of ubiquitination-related genes in CD. Differentially expressed ubiquitination-related genes were identified by intersecting differentially expressed genes (DEGs) from the GSE95095 dataset in the Gene Expression Omnibus (GEO) database with a set of ubiquitination-related genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. Key genes were selected by combining hub genes from the protein-protein interaction (PPI) network with feature genes identified by Lasso and Random Forest (RF) algorithms. Additionally, the correlation between key genes and","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jan","modification":"2025-04-18T16:49:33.278Z","creation":"2025-04-07T04:18:12.142Z"},"accession":"S-EPMC11772853","cross_references":{"pubmed":["39870856"],"doi":["10.1038/s41598-025-88148-4"]}}