Screening for Biomarkers for Progression from Oral Leukoplakia to Oral Squamous Cell Carcinoma and Evaluation of Diagnostic Efficacy by Multiple Machine Learning Algorithms

SIMPLE SUMMARY: The study was the first to screen seven genes and identify the set of genes using twelve machine learning algorithms that predict the progression from oral leukoplakia to oral squamous cell carcinoma. We verified these genes by RT-qPCR experiments and speculated on the possible molec...

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Detalles Bibliográficos
Autores principales: Jing, Fengyang, Zhang, Jianyun, Cai, Xinjia, Zhou, Xuan, Bai, Jiaying, Zhang, Heyu, Li, Tiejun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738227/
https://www.ncbi.nlm.nih.gov/pubmed/36497288
http://dx.doi.org/10.3390/cancers14235808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738227/
https://www.ncbi.nlm.nih.gov/pubmed/36497288
http://dx.doi.org/10.3390/cancers14235808

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