Authentication of differential gene expression in oral squamous cell carcinoma using machine learning applications

BACKGROUND: Recently, the possibility of tumour classification based on genetic data has been investigated. However, genetic datasets are difficult to handle because of their massive size and complexity of manipulation. In the present study, we examined the diagnostic performance of machine learning...

Descripción completa

Detalles Bibliográficos
Autores principales: Pratama, Rian, Hwang, Jae Joon, Lee, Ji Hye, Song, Giltae, Park, Hae Ryoun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164276/
https://www.ncbi.nlm.nih.gov/pubmed/34051764
http://dx.doi.org/10.1186/s12903-021-01642-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8164276/
https://www.ncbi.nlm.nih.gov/pubmed/34051764
http://dx.doi.org/10.1186/s12903-021-01642-9

Ejemplares similares