Identification of Key Prognostic Genes of Triple Negative Breast Cancer by LASSO-Based Machine Learning and Bioinformatics Analysis

Improved insight into the molecular mechanisms of triple negative breast cancer (TNBC) is required to predict prognosis and develop a new therapeutic strategy for targeted genes. The aim of this study is to identify key genes which may affect the prognosis of TNBC patients by bioinformatic analysis....

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Detalles Bibliográficos
Autores principales: Chen, De-Lun, Cai, Jia-Hua, Wang, Charles C. N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140789/
https://www.ncbi.nlm.nih.gov/pubmed/35627287
http://dx.doi.org/10.3390/genes13050902

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9140789/
https://www.ncbi.nlm.nih.gov/pubmed/35627287
http://dx.doi.org/10.3390/genes13050902

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