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GeDi: simplifying gene set distances for enhanced omics interpretation in R/Bioconductor.

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第一作者： Annekathrin Silvia,Nedwed

第一单位： Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University, Mainz, Germany. anedwed@uni-mainz.de.

作者： Annekathrin Silvia,Nedwed ^[1] ; Arsenij,Ustjanzew ^[2] ; Najla,Abassi ^[2] ; Leon,Dammer ^[2] ; Alicia,Schulze ^[2] ; Sara Salome,Helbich ^[3] ; Michael,Delacher ^[3] ; Konstantin,Strauch ^[2] ; Federico,Marini ^[4]

作者单位： Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University, Mainz, Germany. anedwed@uni-mainz.de. ^[1] Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University, Mainz, Germany. ^[2] Institute of Immunology, University Medical Center Mainz, Mainz, Germany.;Research Center for Immunotherapy (FZI), Mainz, Germany. ^[3] Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University, Mainz, Germany. marinif@uni-mainz.de.;Research Center for Immunotherapy (FZI), Mainz, Germany. marinif@uni-mainz.de.;Center for Thrombosis and Hemostasis (CTH), Mainz, Germany. marinif@uni-mainz.de. ^[4]

关键词 Data interpretation Data visualisation Functional enrichment analysis R package RNA-sequencing Shiny

DOI 10.1186/s12859-025-06335-6

PMID 41354776

发布时间 2026-01-18

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