A machine learning framework develops a DNA replication stress model for predicting clinical outcomes and therapeutic vulnerability in primary prostate cancer

Recent studies have identified DNA replication stress as an important feature of advanced prostate cancer (PCa). The identification of biomarkers for DNA replication stress could therefore facilitate risk stratification and help inform treatment options for PCa. Here, we designed a robust machine le...

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Detalles Bibliográficos
Autores principales: Huang, Rong-Hua, Hong, Ying-Kai, Du, Heng, Ke, Wei-Qi, Lin, Bing-Biao, Li, Ya-Lan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835390/
https://www.ncbi.nlm.nih.gov/pubmed/36635710
http://dx.doi.org/10.1186/s12967-023-03872-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835390/
https://www.ncbi.nlm.nih.gov/pubmed/36635710
http://dx.doi.org/10.1186/s12967-023-03872-7

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