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

• Main Authors: Tranchevent, Léon-Charles, Azuaje, Francisco, Rajapakse, Jagath Chandana
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2021
• Subjects: Science::Biological sciences; Machine Learning; Deep Learning
• Online Access: https://hdl.handle.net/10356/146977
• Institution: Nanyang Technological University

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...