Browsing Research Articles (SANBI) by Subject "Machine learning"
Now showing items 1-2 of 2
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Identification of novel prognostic markers of survival time in high-risk neuroblastoma using gene expression profiles
(Impact Journals, 2020)Neuroblastoma is the most common extracranial solid tumor in childhood. Patients in high-risk group often have poor outcomes with low survival rates despite several treatment options. This study aimed to identify a genetic ... -
Predicting amplification of mycn using cpg methylation biomarkers in neuroblastoma
(Future Science Group, 2021)Neuroblastoma is the most common extracranial solid tumor in childhood. Amplification of MYCN in neuroblastoma is a predictor of poor prognosis. Materials and methods: DNA methylation data from the TARGET data matrix were ...