Predicting clinical outcomes in neuroblastoma with genomic data integration

Ilyes Baali, D Alp Emre Acar, Tunde W. Aderinwale, Saber HafezQorani, Hilal Kazan
2018 Biology Direct  
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 genome-wide datasets provide opportunities to infer neuroblastoma subtypes in a more unified way. Within this context, data integration is critical as different molecular characteristics can contain complementary signals. To this end, we utilized the genomic datasets available for the
more » ... QC cohort patients to develop supervised and unsupervised models that can predict disease prognosis.
doi:10.1186/s13062-018-0223-8 pmid:30621745 pmcid:PMC6889397 fatcat:qavn3bpxzjdpld375zjtg3eczm