Identification of the diagnostic genes and immune cell infiltration characteristics of gastric cancer using bioinformatics analysis and machine learning

Background: Finding reliable diagnostic markers for gastric cancer (GC) is important. This work uses machine learning (ML) to identify GC diagnostic genes and investigate their connection with immune cell infiltration. Methods: We downloaded eight GC-related datasets from GEO, TCGA, and GTEx. GSE139...

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Detalles Bibliográficos
Autores principales: Xie, Rongjun, Liu, Longfei, Lu, Xianzhou, He, Chengjian, Li, Guoxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845288/
https://www.ncbi.nlm.nih.gov/pubmed/36685898
http://dx.doi.org/10.3389/fgene.2022.1067524

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9845288/
https://www.ncbi.nlm.nih.gov/pubmed/36685898
http://dx.doi.org/10.3389/fgene.2022.1067524

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