A Knowledge-Based Discovery Approach Couples Artificial Neural Networks With Weight Engineering to Uncover Immune-Related Processes Underpinning Clinical Traits of Breast Cancer

Immune-related processes are important in underpinning the properties of clinical traits such as prognosis and drug response in cancer. The possibility to extract knowledge learned by artificial neural networks (ANNs) from omics data to explain cancer clinical traits is a very attractive subject for...

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Detalles Bibliográficos
Autores principales: Zhang, Cheng, Correia, Cristina, Weiskittel, Taylor M., Tan, Shyang Hong, Meng-Lin, Kevin, Yu, Grace T., Yao, Jingwen, Yeo, Kok Siong, Zhu, Shizhen, Ung, Choong Yong, Li, Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330471/
https://www.ncbi.nlm.nih.gov/pubmed/35911770
http://dx.doi.org/10.3389/fimmu.2022.920669

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9330471/
https://www.ncbi.nlm.nih.gov/pubmed/35911770
http://dx.doi.org/10.3389/fimmu.2022.920669

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