Conditional Generative Adversarial Networks for Individualized Treatment Effect Estimation and Treatment Selection

Treatment response is heterogeneous. However, the classical methods treat the treatment response as homogeneous and estimate the average treatment effects. The traditional methods are difficult to apply to precision oncology. Artificial intelligence (AI) is a powerful tool for precision oncology. It...

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Detalles Bibliográficos
Autores principales: Ge, Qiyang, Huang, Xuelin, Fang, Shenying, Guo, Shicheng, Liu, Yuanyuan, Lin, Wei, Xiong, Momiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759680/
https://www.ncbi.nlm.nih.gov/pubmed/33362849
http://dx.doi.org/10.3389/fgene.2020.585804

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7759680/
https://www.ncbi.nlm.nih.gov/pubmed/33362849
http://dx.doi.org/10.3389/fgene.2020.585804

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