Integrating transcriptomics and machine learning to predict ferroptosis-related genes and analyzing the role of GOT1 in gastric cancer progression.

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Title: Integrating transcriptomics and machine learning to predict ferroptosis-related genes and analyzing the role of GOT1 in gastric cancer progression.
Authors: Wu XL; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China., Lei LP; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China., Wu SR; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China., Chen MY; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China., Zhang YQ; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China., Fu YK; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China., Kang QD; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China., Lin ST; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China., Li P; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China., Chen ZX; Department of Gastroenterology, Successful Hospital Affiliated to Xiamen University, Xiamen, Fujian, China. Electronic address: czx20241227@126.com.
Source: Pathology, research and practice [Pathol Res Pract] 2025 Dec; Vol. 276, pp. 156252. Date of Electronic Publication: 2025 Sep 29.
Publication Type: Journal Article
Journal Info: Publisher: Gustav Fischer Verlag Country of Publication: Germany NLM ID: 7806109 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1618-0631 (Electronic) Linking ISSN: 03440338 NLM ISO Abbreviation: Pathol Res Pract Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1618-0631
DOI:10.1016/j.prp.2025.156252