Revealing the Impact of Genomic Alterations on Cancer Cell Signaling with an Interpretable Deep Learning Model

SIMPLE SUMMARY: Cancer results from aberrant cellular signaling caused by somatic genomic alterations (SGAs). However, inferring how SGAs cause aberrations in cellular signaling and lead to cancer remains challenging. We designed an interpretable deep learning model to encode the impact of SGAs on c...

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Detalles Bibliográficos
Autores principales: Young, Jonathan D., Ren, Shuangxia, Chen, Lujia, Lu, Xinghua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416927/
https://www.ncbi.nlm.nih.gov/pubmed/37568673
http://dx.doi.org/10.3390/cancers15153857

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416927/
https://www.ncbi.nlm.nih.gov/pubmed/37568673
http://dx.doi.org/10.3390/cancers15153857

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