Identification of miRNA-Mediated Subpathways as Prostate Cancer Biomarkers Based on Topological Inference in a Machine Learning Process Using Integrated Gene and miRNA Expression Data

Accurately identifying classification biomarkers for distinguishing between normal and cancer samples is challenging. Additionally, the reproducibility of single-molecule biomarkers is limited by the existence of heterogeneous patient subgroups and differences in the sequencing techniques used to co...

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Detalles Bibliográficos
Autores principales: Ning, Ziyu, Yu, Shuang, Zhao, Yanqiao, Sun, Xiaoming, Wu, Haibin, Yu, Xiaoyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024646/
https://www.ncbi.nlm.nih.gov/pubmed/33841512
http://dx.doi.org/10.3389/fgene.2021.656526

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024646/
https://www.ncbi.nlm.nih.gov/pubmed/33841512
http://dx.doi.org/10.3389/fgene.2021.656526

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