Predicting AT(N) pathologies in Alzheimer’s disease from blood-based proteomic data using neural networks

  1. Zhang, Y.
  2. Ghose, U.
  3. Buckley, N.J.
  4. Engelborghs, S.
  5. Sleegers, K.
  6. Frisoni, G.B.
  7. Wallin, A.
  8. Lleó, A.
  9. Popp, J.
  10. Martinez-Lage, P.
  11. Legido-Quigley, C.
  12. Barkhof, F.
  13. Zetterberg, H.
  14. Visser, P.J.
  15. Bertram, L.
  16. Lovestone, S.
  17. Nevado-Holgado, A.J.
  18. Shi, L.
Journal:
Frontiers in Aging Neuroscience

ISSN: 1663-4365

Year of publication: 2022

Volume: 14

Type: Article

DOI: 10.3389/FNAGI.2022.1040001 GOOGLE SCHOLAR lock_openOpen access editor
Data source: Scopus