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

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

Abstract 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 mech...

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Bibliographic Details
Main Authors: Léon-Charles Tranchevent, Francisco Azuaje, Jagath C. Rajapakse
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Genomics
Subjects:
Machine learning
Deep learning
Deep neural network
Network-based methods
Graph topology
Disease prediction
Online Access:https://doi.org/10.1186/s12920-019-0628-y

Internet

https://doi.org/10.1186/s12920-019-0628-y

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