{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["11(4)"],"submitter":["Sawai H"],"pubmed_abstract":["<h4>Unlabelled</h4>Bipolar disorder (BD) is a psychiatric disease considered to polygenic with multiple factors in genetics, each of which is not dominant but collaborative during pathogenic progression. We describe a method that estimates the collaborative contribution to the disease between a certain well-studied pathway and the other candidate pathway using Gene Set Enrichment Analysis (GSEA). We describe a modified GSEA (improved derivation) to identify genes that are significantly and differentially expressed between disease and non-disease states and that are consistently co-expressed with a target pathway which is deeply related to disease etiology. The modified GSEA uses available gene expression data to identify molecular mechanism (ubiquitin-proteasome and inflammatory response) "],"journal":["Bioinformation"],"pagination":["207-16"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC4479050"],"repository":["biostudies-literature"],"pubmed_title":["Identification of collaborative activities with oxidative phosphorylation in bipolar disorder."],"pmcid":["PMC4479050"],"pubmed_authors":["Tanaka H","Takai-Igarashi T","Sawai H"],"additional_accession":[]},"is_claimable":false,"name":"Identification of collaborative activities with oxidative phosphorylation in bipolar disorder.","description":"<h4>Unlabelled</h4>Bipolar disorder (BD) is a psychiatric disease considered to polygenic with multiple factors in genetics, each of which is not dominant but collaborative during pathogenic progression. We describe a method that estimates the collaborative contribution to the disease between a certain well-studied pathway and the other candidate pathway using Gene Set Enrichment Analysis (GSEA). We describe a modified GSEA (improved derivation) to identify genes that are significantly and differentially expressed between disease and non-disease states and that are consistently co-expressed with a target pathway which is deeply related to disease etiology. The modified GSEA uses available gene expression data to identify molecular mechanism (ubiquitin-proteasome and inflammatory response) ","dates":{"release":"2015-01-01T00:00:00Z","publication":"2015","modification":"2026-05-30T11:20:40.412Z","creation":"2019-03-27T01:53:59Z"},"accession":"S-EPMC4479050","cross_references":{"pubmed":["26124562"],"doi":["10.6026/97320630011207"]}}