Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection
Flora Mikaeloff, Marco Gelpi, Rui Benfeitas, Andreas Dehlbæk Knudsen, Beate Vestad, Julie Høgh, Johannes R. Hov, Thomas Benfield, Daniel D. Murray, Christian G. Giske, Adil Mardinoğlu, Marius Trøseid, Susanne Dam Nielsen, Ujjwal Neogi
The paper identifies three metabolic at-risk profiles in HIV-treated patients using multi-omics integration, highlighting dysregulated metabolism and microbiome interactions.
eLife · Feb 16, 2023Peer-reviewedBioinformatics