ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment

SIMPLE SUMMARY: A comprehensive evaluation of immune cell distribution in the tumor microenvironment (TME) and tumor gene mutation status may contribute to therapeutic optimization of cancer patients. In this study, we aimed to demonstrate that deep learning (DL)-based computational frameworks have...

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Detalles Bibliográficos
Autores principales: Bian, Chang, Wang, Yu, Lu, Zhihao, An, Yu, Wang, Hanfan, Kong, Lingxin, Du, Yang, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036970/
https://www.ncbi.nlm.nih.gov/pubmed/33916145
http://dx.doi.org/10.3390/cancers13071659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036970/
https://www.ncbi.nlm.nih.gov/pubmed/33916145
http://dx.doi.org/10.3390/cancers13071659

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