@misc{indiciaed7c5417940cf,
  title = {Federated deep learning enables cancer subtyping by proteomics},
  author = {Cai, Z. and Boys, E. L. and Noor, Z. and Aref, A. and Xavier, D. and Lucas, N. and Williams, S. G. and Koh, J. M. S. and Poulos, R. C. and Wu, Y. and Dausmann, M. and MacKenzie, K. L. and Aguilar-Mahecha, A. and Armengol, C. and Barranco, M. M. and Basik, M. and Bowman, E. D. and Clifton-Bligh, R. J. and Connolly, E. A. and Cooper, W. A. and Dalal, B. and DeFazio, A. and Filipits, M. and Flynn, P. J. and Graham, J. D. and George, J. and Gill, A. J. and Gnant, M. and Habib, R. and Harris, C. C. and Harvey, K. and Horvath, L. G. and Jackson, C. and Kohonen-Corish, M. R. J. and Lim, E. and Liu, J. and Long, G. and Lord, R. V. and Mann, G. J. and McCaughan, G. W. and Morgan, L. and Murphy, L. C. and Nagabushan, S. and Nagri},
  year = {2024},
  doi = {10.1101/2024.10.16.618763},
  url = {https://www.biorxiv.org/content/10.1101/2024.10.16.618763v1},
  note = {Source identifier: 10.1101/2024.10.16.618763}
}