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Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease

We propose DEGAS (Diagnostic Evidence GAuge of Single cells), a novel deep transfer learning framework, to transfer disease information from patients to cells. We call such transferrable information “impressions,” which allow individual cells to be associated with disease attributes like diagnosis,...

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Detalles Bibliográficos
Autores principales:	Johnson, Travis S., Yu, Christina Y., Huang, Zhi, Xu, Siwen, Wang, Tongxin, Dong, Chuanpeng, Shao, Wei, Zaid, Mohammad Abu, Huang, Xiaoqing, Wang, Yijie, Bartlett, Christopher, Zhang, Yan, Walker, Brian A., Liu, Yunlong, Huang, Kun, Zhang, Jie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Method
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808996/ https://www.ncbi.nlm.nih.gov/pubmed/35105355 http://dx.doi.org/10.1186/s13073-022-01012-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808996/
https://www.ncbi.nlm.nih.gov/pubmed/35105355
http://dx.doi.org/10.1186/s13073-022-01012-2

Diagnostic Evidence GAuge of Single cells (DEGAS): a flexible deep transfer learning framework for prioritizing cells in relation to disease

Internet

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