Author: Troulé, Kevin; López-Fernández, Hugo; GarcÃa-MartÃn, Santiago; Reboiro-Jato, Miguel; Carretero-Puche, Carlos; Martorell-Marugán, Jordi; MartÃn-Serrano, Guillermo; Carmona-Sáez, Pedro; González-Peña, Daniel; Al-Shahrour, Fátima; Gómez-López, Gonzalo
                    Title: DREIMT: a drug repositioning database and prioritization tool for immunomodulation  Cord-id: 1qpqrrzt  Document date: 2020_6_24
                    ID: 1qpqrrzt
                    
                    Snippet: Motivation Drug immunomodulation modifies the response of the immune system and can be therapeutically exploited in pathologies such as cancer and autoimmune diseases. Results DREIMT is a new hypothesis-generation web tool which performs drug prioritization analysis for immunomodulation. DREIMT provides significant immunomodulatory drugs targeting up to 70 immune cells subtypes through a curated database that integrates 4,960 drug profiles and ~2,6K immune gene expression signatures. The tool al
                    
                    
                    
                     
                    
                    
                    
                    
                        
                            
                                Document: Motivation Drug immunomodulation modifies the response of the immune system and can be therapeutically exploited in pathologies such as cancer and autoimmune diseases. Results DREIMT is a new hypothesis-generation web tool which performs drug prioritization analysis for immunomodulation. DREIMT provides significant immunomodulatory drugs targeting up to 70 immune cells subtypes through a curated database that integrates 4,960 drug profiles and ~2,6K immune gene expression signatures. The tool also suggests potential immunomodulatory drugs targeting user-supplied gene expression signatures. Final output includes drug-signature association scores, FDRs and downloadable plots and results tables. Availability http://www.dreimt.org Contact [email protected]; [email protected]
 
  Search related documents: 
 
                                Co phrase  search for related documents- Try single phrases listed below for: 1
  
 
                                Co phrase  search for related documents, hyperlinks ordered by date