Identification of fibroblast-related genes based on single-cell and machine learning to predict the prognosis and endocrine metabolism of pancreatic cancer

BACKGROUND: Single-cell sequencing technology has become an indispensable tool in tumor mechanism and heterogeneity studies. Pancreatic adenocarcinoma (PAAD) lacks early specific symptoms, and comprehensive bioinformatics analysis for PAAD contributes to the developmental mechanisms. METHODS: We per...

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Detalles Bibliográficos
Autores principales: Xu, Yinghua, Chen, Xionghuan, Liu, Nan, Chu, Zhong, Wang, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Endocrinology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425556/
https://www.ncbi.nlm.nih.gov/pubmed/37588985
http://dx.doi.org/10.3389/fendo.2023.1201755

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10425556/
https://www.ncbi.nlm.nih.gov/pubmed/37588985
http://dx.doi.org/10.3389/fendo.2023.1201755

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