Developing prognostic gene panel of survival time in lung adenocarcinoma patients using machine learning

BACKGROUND: Transcriptome data generates massive amounts of information that can be used for characterization and prognosis of patient outcomes for many diseases. The goal of our research is to predict the survival time of lung adenocarcinoma patients and improve the accuracy of classifying the long...

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Detalles Bibliográficos
Autores principales: Liu, Yidi, Yang, Mu, Sun, Weiwei, Zhang, Mingqiang, Sun, Jiao, Wang, Wenjuan, Tang, Dongqi, Yuan, Dongfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799101/
https://www.ncbi.nlm.nih.gov/pubmed/35117753
http://dx.doi.org/10.21037/tcr-19-2739

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799101/
https://www.ncbi.nlm.nih.gov/pubmed/35117753
http://dx.doi.org/10.21037/tcr-19-2739

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