Machine learning and BP neural network revealed abnormal B cell infiltration predicts the survival of lung cancer patients

FAM83A gene is related to the invasion and metastasis of various tumors. However, the abnormal immune cell infiltration associated with the gene is poorly understood in the pathogenesis and prognosis of NSCLC. Based on the TCGA and GEO databases, we used COX regression and machine learning algorithm...

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Detalles Bibliográficos
Autores principales: Tu, Pinghua, Li, Xinjun, Cao, Lingli, Zhong, Minghua, Xie, Zhibin, Wu, Zhanling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592816/
https://www.ncbi.nlm.nih.gov/pubmed/36303835
http://dx.doi.org/10.3389/fonc.2022.882018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9592816/
https://www.ncbi.nlm.nih.gov/pubmed/36303835
http://dx.doi.org/10.3389/fonc.2022.882018

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