Interpretable models for high-risk neuroblastoma stratification with multi-cohort copy number profiles

Interpretable models for high-risk neuroblastoma stratification with multi-cohort copy number profiles

Although high-risk neuroblastoma (HR-NB) is clinically heterogeneous, it is treated in a similar fashion without additional risk stratification. Based on the 4 copy-number profiles with 556 HR-NB subjects and 14 potential risk factors of neuroblastoma, we develop an interpretable machine learning mo...

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Bibliographic Details
Main Authors: Zhenqiu Liu, Menglu Liang, Christa N. Grant, Vladimir S. Spiegelman, Hong-Gang Wang
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Informatics in Medicine Unlocked
Subjects:
High-risk neuroblastoma
L0 penalized global AUC summary maximization
Prognostic prediction
Copy-number variations (CNVs)
Multi-cohort integration
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914821001842

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http://www.sciencedirect.com/science/article/pii/S2352914821001842

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