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268 DEGAS: Deep transfer learning reveals cancer-like transcriptional signatures in histologically normal prostate tissue and adjacent-normal tissues in pancreatic cancer

OBJECTIVES/GOALS: Single-cell and spatial transcriptomics have revealed high heterogeneity in the tumor and microenvironment. Identifying populations of cells that impact a patient’s prognosis is an important research goal, so researchers can generate hypotheses and clinicians can provide targeted t...

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Detalles Bibliográficos
Autores principales:	Couetil, Justin, Liu, Ziyu, Zhang, Jie, Huang, Kun, Johnson, Travis
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Cambridge University Press 2023
Materias:	Precision Medicine/Health
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10129556/ http://dx.doi.org/10.1017/cts.2023.327

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