Now showing items 1-2 of 2

    • Pan-cancer detection of driver genes at the single-patient resolution. 

      Nulsen, J; Misetic, H; Yau, C; Ciccarelli, FD (2021-02-01)
      BACKGROUND: Identifying the complete repertoire of genes that drive cancer in individual patients is crucial for precision oncology. Most established methods identify driver genes that are recurrently altered across patient ...
    • Rarity: Discovering rare cell populations from single-cell imaging data 

      Märtens, K; Bortolomeazzi, M; Montorsi, L; Spencer, J; Ciccarelli, F; Yau, C (Oxford University Press, 2023-12-13)
      MOTIVATION: Cell type identification plays an important role in the analysis and interpretation of single-cell data and can be carried out via supervised or unsupervised clustering approaches. Supervised methods are best ...