Wide and deep learning for automatic cell type identification

Cell type classification is an important problem in cancer research, especially with the advent of single cell technologies. Correctly identifying cells within the tumor microenvironment can provide oncologists with a snapshot of how a patient’s immune system reacts to the tumor. Wide and deep learn...

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Detalles Bibliográficos
Autores principales: Wilson, Christopher M., Fridley, Brooke L., Conejo-Garcia, José R., Wang, Xuefeng, Yu, Xiaoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878986/
https://www.ncbi.nlm.nih.gov/pubmed/33613870
http://dx.doi.org/10.1016/j.csbj.2021.01.027

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878986/
https://www.ncbi.nlm.nih.gov/pubmed/33613870
http://dx.doi.org/10.1016/j.csbj.2021.01.027

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