JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease

High dimensional multi-omics data integration can enhance our understanding of the complex biological interactions in human diseases. However, most studies involving unsupervised integration of multi-omics data focus on linear integration methods. In this study, we propose a joint deep semi-non-nega...

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Detalles Bibliográficos
Autores principales: Moon, Sehwan, Lee, Hyunju
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400727/
https://www.ncbi.nlm.nih.gov/pubmed/34442330
http://dx.doi.org/10.3390/jpm11080686

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400727/
https://www.ncbi.nlm.nih.gov/pubmed/34442330
http://dx.doi.org/10.3390/jpm11080686

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