Integration of molecular features with clinical information for predicting outcomes for neuroblastoma patients

Abstract excerpt

BACKGROUND: Neuroblastoma is one of the most common types of pediatric cancer. In current neuroblastoma prognosis, patients can be stratified into high- and low-risk groups. Generally, more than 90% of the patients in the low-risk group will survive, while less than 50% for those with the high-risk disease will survive. Since the so-called "high-risk" patients still contain patients with mixed good and poor...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Lung Cancer Research Studies
• Share to Machine Learning in Bioinformatics
• Share to Neuroblastoma Research and Treatments