Machine Learning Predictor of Immune Checkpoint Blockade Response in Gastric Cancer

SIMPLE SUMMARY: This study deals with the identification of signature genes through a model using four machine learning algorithms for two cohorts of bulk and single cell RNA seq to predict immune checkpoint blockade (ICB) response in gastric cancer. Through LASSO feature selection, we identified VC...

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Detalles Bibliográficos
Autores principales: Sung, Ji-Yong, Cheong, Jae-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265060/
https://www.ncbi.nlm.nih.gov/pubmed/35804967
http://dx.doi.org/10.3390/cancers14133191

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9265060/
https://www.ncbi.nlm.nih.gov/pubmed/35804967
http://dx.doi.org/10.3390/cancers14133191

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