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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| 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 |