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Enrichr is a popular gene set enrichment analysis web-server search engine that contains hundreds of thousands of annotated gene sets. While Enrichr has been useful in providing enrichment analysis with many gene set libraries from different categories, integrating enrichment results across libraries and domains of knowledge can further hypothesis generation. To this end, Enrichr-KG is a knowledge graph database and a web-server application that combines selected gene set libraries from Enrichr for integrative enrichment analysis and visualization. The enrichment results are presented as subgraphs made of nodes and links that connect genes to their enriched terms. In addition, users of Enrichr-KG can add gene-gene links, as well as predicted genes\u00a0to the subgraphs. This graphical representation of cross-library results with enriched and predicted genes can illuminate hidden associations between genes and annotated enriched terms from across datasets and resources. Enrichr-KG currently serves 26 gene set libraries from different categories that include transcription, pathways, ontologies, diseases\/drugs, and cell types. To demonstrate the utility of Enrichr-KG we provide several case studies. Enrichr-KG is freely available at: https:\/\/maayanlab.cloud\/enrichr-kg.<\/jats:p>","DOI":"10.1093\/nar\/gkad393","type":"journal-article","created":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T15:50:27Z","timestamp":1683820227000},"page":"W168-W179","source":"Crossref","is-referenced-by-count":225,"title":["Enrichr-KG: bridging enrichment analysis across multiple libraries"],"prefix":"10.1093","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4836-0518","authenticated-orcid":false,"given":"John Erol","family":"Evangelista","sequence":"first","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai , NY , NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhuorui","family":"Xie","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai , NY , NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-9727-559X","authenticated-orcid":false,"given":"Giacomo B","family":"Marino","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai , NY , NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nhi","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai , NY , NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel\u00a0J B","family":"Clarke","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai , NY , NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6904-1017","authenticated-orcid":false,"given":"Avi","family":"Ma\u2019ayan","sequence":"additional","affiliation":[{"name":"Department of Pharmacological Sciences, Mount Sinai Center for Bioinformatics, Icahn School of Medicine at Mount Sinai , NY , NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2023,5,11]]},"reference":[{"key":"2023070505040621500_B1","doi-asserted-by":"crossref","first-page":"15545","DOI":"10.1073\/pnas.0506580102","article-title":"Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles","volume":"102","author":"Subramanian","year":"2005","journal-title":"Proc. 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