Now showing items 1-3 of 3

    • MEXCOwalk: mutual exclusion and coverage based random walk to identify cancer modules 

      Ahmed, Rafsan; Baali, Ilyes; Erten, Cesim; Hoxha, Evis; Kazan, Hilal (Bioinformatics, 2019)
      Motivation: Genomic analyses from large cancer cohorts have revealed the mutational heterogeneity problem which hinders the identification of driver genes based only on mutation profiles. One way to tackle this problem ...
    • MEXCOwalk: mutual exclusion and coverage based random walk to identify cancer modules 

      Ahmed, Rafsan; Baali, Ilyes; Erten, Cesim; Hoxha, Evis; Kazan, Hilal (Bioinformatics, 2019)
      Motivation: Genomic analyses from large cancer cohorts have revealed the mutational heterogeneity problem which hinders the identification of driver genes based only on mutation profiles. One way to tackle this problem is ...
    • Predicting clinical outcomes in neuroblastoma with genomic data integration 

      Baali, Ilyes; Acar, D. Alp Emre; Aderinwale, Tunde W.; HafezQorani, Saber; Kazan, Hilal (Biology Direct, 2018)
      Background: Neuroblastoma is a heterogeneous disease with diverse clinical outcomes. Current risk group models require improvement as patients within the same risk group can still show variable prognosis. Recently collected ...