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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Main Authors: Léon-Charles Tranchevent (Author), Francisco Azuaje (Author), Jagath C. Rajapakse (Author)
Format: Book
Published: BMC, 2019-12-01T00:00:00Z.
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3rd Floor Main Library

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Call Number: A1234.567
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