Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection

  1. Flora Mikaeloff  Is a corresponding author
  2. Marco Gelpi
  3. Rui Benfeitas
  4. Andreas D Knudsen
  5.  Beate Vestad
  6.  Julie Høgh
  7. Johannes R Hov
  8. Thomas Benfield
  9. Daniel Murray
  10. Christian G Giske
  11. Adil Mardinoglu
  12. Marius Trøseid
  13. Susanne D Nielsen
  14. Ujjwal Neogi  Is a corresponding author
  1. Karolinska Institute, Sweden
  2. Rigshospitalet, Denmark
  3. Oslo University Hospital, Norway
  4. Copenhagen University Hospital, Denmark
  5. King's College London, United Kingdom

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This article was accepted for publication via eLife's original publishing model. eLife publishes the authors' accepted manuscript as a PDF only version before the full Version of Record is ready for publication. Peer reviews are published along with the Version of Record.

History

  1. Version of Record updated
  2. Version of Record published
  3. Accepted Manuscript published
  4. Accepted
  5. Received
  6. Preprint posted

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  1. Flora Mikaeloff
  2. Marco Gelpi
  3. Rui Benfeitas
  4. Andreas D Knudsen
  5.  Beate Vestad
  6.  Julie Høgh
  7. Johannes R Hov
  8. Thomas Benfield
  9. Daniel Murray
  10. Christian G Giske
  11. Adil Mardinoglu
  12. Marius Trøseid
  13. Susanne D Nielsen
  14. Ujjwal Neogi
(2023)
Network-based multi-omics integration reveals metabolic at-risk profile within treated HIV-infection
eLife 12:e82785.
https://doi.org/10.7554/eLife.82785

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https://doi.org/10.7554/eLife.82785