Identification of Signature Genes and Construction of an Artificial Neural Network Model of Prostate Cancer

This study aimed to establish an artificial neural network (ANN) model based on prostate cancer signature genes (PCaSGs) to predict the patients with prostate cancer (PCa). In the present study, 270 differentially expressed genes (DEGs) were identified between PCa and normal prostate (NP) groups by...

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Detalles Bibliográficos
Autores principales: Dong, Hongye, Wang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010146/
https://www.ncbi.nlm.nih.gov/pubmed/35432828
http://dx.doi.org/10.1155/2022/1562511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9010146/
https://www.ncbi.nlm.nih.gov/pubmed/35432828
http://dx.doi.org/10.1155/2022/1562511

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