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.
Revue:
Frontiers in Aging Neuroscience

ISSN: 1663-4365

Année de publication: 2022

Volumen: 14

Type: Article

DOI: 10.3389/FNAGI.2022.1040001 GOOGLE SCHOLAR lock_openAccès ouvert editor
La source de données: Scopus