Predict ovarian cancer by pairing serum miRNAs: Construct of single sample classifiers

OBJECTIVE: The accuracy of CA125 or clinical examination in ovarian cancer (OVC) screening is still facing challenges. Serum miRNAs have been considered as promising biomarkers for clinical applications. Here, we propose a single sample classifier (SSC) method based on within-sample relative express...

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Detalles Bibliográficos
Autores principales: Hong, Guini, Luo, Fengyuan, Chen, Zhihong, Ma, Liyuan, Lin, Guiyang, Wu, Tong, Li, Na, Cai, Hao, Hu, Tao, Zhong, Haijian, Guo, You, Li, Hongdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378834/
https://www.ncbi.nlm.nih.gov/pubmed/35983098
http://dx.doi.org/10.3389/fmed.2022.923275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9378834/
https://www.ncbi.nlm.nih.gov/pubmed/35983098
http://dx.doi.org/10.3389/fmed.2022.923275

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