A deep neural network approach to predicting clinical outcomes of neuroblastoma patients

• المؤلفون الرئيسيون: Tranchevent, Léon-Charles, Azuaje, Francisco, Rajapakse, Jagath Chandana
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2021
• الموضوعات: Science::Biological sciences; Machine Learning; Deep Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/146977

Background: The availability of high-throughput omics datasets from large patient cohorts has allowed the development of methods that aim at predicting patient clinical outcomes, such as survival and disease recurrence. Such methods are also important to better understand the biological mechanisms u...