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

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

BackgroundSingle-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.MethodsWe performe...

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Bibliographic Details
Main Authors: Yinghua Xu, Xionghuan Chen, Nan Liu, Zhong Chu, Qiang Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Endocrinology
Subjects:
single-cell sequencing
pancreatic adenocarcinoma
tumorigenesis
RiskScore
prognosis
endocrine metabolism
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2023.1201755/full

Internet

https://www.frontiersin.org/articles/10.3389/fendo.2023.1201755/full

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