Identification of prognostic markers and potential therapeutic targets in gastric adenocarcinoma by machine learning based on mrnasi index

HIGHLIGHTS

  • who: Si Hong Guo and colleagues from the Personal Health Management, Kong Baptist University, Kong, China have published the paper: Identification of Prognostic Markers and Potential Therapeutic Targets in Gastric Adenocarcinoma by Machine Learning Based on mRNAsi Index, in the Journal: Journal of Oncology of 30/09/2022
  • what: In this study the purpose is to explore the expression of stem cell-related genes in STAD.
  • how: The STAD data set was selected from TCGA for analysis and research and the routine data were analyzed by the Pearson correlation test.
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