Interpreting biologically informed neural networks for enhanced proteomic biomarker discovery and pathway analysis

The incorporation of machine learning methods into proteomics workflows improves the identification of disease-relevant biomarkers and biological pathways. However, machine learning models, such as deep neural networks, typically suffer from lack of interpretability. Here, we present a deep learning...

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Detalles Bibliográficos
Autores principales: Hartman, Erik, Scott, Aaron M., Karlsson, Christofer, Mohanty, Tirthankar, Vaara, Suvi T., Linder, Adam, Malmström, Lars, Malmström, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475049/
https://www.ncbi.nlm.nih.gov/pubmed/37660105
http://dx.doi.org/10.1038/s41467-023-41146-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10475049/
https://www.ncbi.nlm.nih.gov/pubmed/37660105
http://dx.doi.org/10.1038/s41467-023-41146-4

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