Patient-level proteomic network prediction by explainable artificial intelligence

Understanding the pathological properties of dysregulated protein networks in individual patients’ tumors is the basis for precision therapy. Functional experiments are commonly used, but cover only parts of the oncogenic signaling networks, whereas methods that reconstruct networks from omics data...

Descripción completa

Detalles Bibliográficos
Autores principales: Keyl, Philipp, Bockmayr, Michael, Heim, Daniel, Dernbach, Gabriel, Montavon, Grégoire, Müller, Klaus-Robert, Klauschen, Frederick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174200/
https://www.ncbi.nlm.nih.gov/pubmed/35672443
http://dx.doi.org/10.1038/s41698-022-00278-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174200/
https://www.ncbi.nlm.nih.gov/pubmed/35672443
http://dx.doi.org/10.1038/s41698-022-00278-4

Ejemplares similares