An interpretable survival model for diffuse large B-cell lymphoma patients using a biologically informed visible neural network

An interpretable survival model for diffuse large B-cell lymphoma patients using a biologically informed visible neural network

Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of non-Hodgkin lymphoma (NHL) and is characterized by high heterogeneity. Assessment of its prognosis and genetic subtyping hold significant clinical implications. However, existing DLBCL prognostic models are mainly based on transcrip...

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Bibliographic Details
Main Authors: Jie Tan, Jiancong Xie, Jiarong Huang, Weizhen Deng, Hua Chai, Yuedong Yang
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Computational and Structural Biotechnology Journal
Subjects:
DLBCL
VNN
Survival model
Prognosis
Interpretable
Subtype
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037024002538
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http://www.sciencedirect.com/science/article/pii/S2001037024002538

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