Integration of incomplete multi-omics data using Knowledge Distillation and Supervised Variational Autoencoders for disease progression prediction

The rapid advancement of high-throughput technologies in the biomedical field has resulted in the accumulation of diverse omics data types, such as mRNA expression, DNA methylation, and microRNA expression, for studying various diseases. Integrating these multi-omics datasets enables a comprehensive...

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Bibliographic Details
Published in:Journal of biomedical informatics Vol. 147; p. 104512
Main Authors: Ranjbari, Sima, Arslanturk, Suzan
Format: Journal Article
Language:English
Published: 01.11.2023
ISSN:1532-0480, 1532-0480
Online Access:Get more information
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