Comprehensive analysis of scRNA-seq and bulk RNA-seq data via machine learning and bioinformatics reveals the role of lysine metabolism-related genes in gastric carcinogenesis

Comprehensive analysis of scRNA-seq and bulk RNA-seq data via machine learning and bioinformatics reveals the role of lysine metabolism-related genes in gastric carcinogenesis

Abstract Background Gastric cancer (GC) is a highly aggressive and heterogeneous cancer with extremely complex biological characteristics. Lysine and its metabolism are closely related to human cancer, but little is known about how lysine metabolism-related genes contribute to gastric carcinogenesis...

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Bibliographic Details
Main Authors: Yongfu Shao, Chujia Chen, Xuan Yu, Jianing Yan, Junming Guo, Guoliang Ye
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Cancer
Subjects:
Gastric cancer
Lysine metabolism
ScRNA-seq
Bulk RNA-seq
Machine learning
Immune infiltration
Online Access:https://doi.org/10.1186/s12885-025-14051-w
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https://doi.org/10.1186/s12885-025-14051-w

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