Machine learning identifies experimental brain metastasis subtypes based on their influence on neural circuits

  1. Sanchez-Aguilera, A.
  2. Masmudi-Martín, M.
  3. Navas-Olive, A.
  4. Baena, P.
  5. Hernández-Oliver, C.
  6. Priego, N.
  7. Cordón-Barris, L.
  8. Alvaro-Espinosa, L.
  9. García, S.
  10. Martínez, S.
  11. Lafarga, M.
  12. Sobrino, C.
  13. Ajenjo, N.
  14. Artiga, M.-J.
  15. Ortega-Paino, E.
  16. García-Calvo, V.
  17. Pérez-Núñez, A.
  18. González-León, P.
  19. Jiménez-Roldán, L.
  20. Moreno, L.M.
  21. Esteban, O.
  22. Sepúlveda, J.M.
  23. Toldos, O.
  24. Laín, A.H.
  25. Arenas, A.
  26. Blasco, G.
  27. Alén, J.F.
  28. Zaragoza, A.D.L.L.
  29. Núñez, A.D.
  30. Calero, L.
  31. Valverde, C.F.
  32. Piñeiro, A.G.
  33. Delgado López, P.D.
  34. Pascual, M.
  35. Ahicart, G.P.
  36. Otín, B.E.
  37. Lin, M.Z.
  38. Al-Shahrour, F.
  39. Menendez de la Prida, L.
  40. Valiente, M.
  41. Show all authors +
Journal:
Cancer Cell

ISSN: 1878-3686,  1535-6108

Year of publication: 2023

Volume: 41

Issue: 9

Pages: 1637-1649.e11

Type: Article

DOI: 10.1016/J.CCELL.2023.07.010 GOOGLE SCHOLAR lock_openOpen access editor

Sustainable development goals

Data source: Scopus