Optimal microRNA Sequencing Depth to Predict Cancer Patient Survival with Random Forest and Cox Models

(1) Background: tumor profiling enables patient survival prediction. The two essential parameters to be calibrated when designing a study based on tumor profiles from a cohort are the sequencing depth of RNA-seq technology and the number of patients. This calibration is carried out under cost constr...

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Detalles Bibliográficos
Autores principales: Jardillier, Rémy, Koca, Dzenis, Chatelain, Florent, Guyon, Laurent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777708/
https://www.ncbi.nlm.nih.gov/pubmed/36553544
http://dx.doi.org/10.3390/genes13122275

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9777708/
https://www.ncbi.nlm.nih.gov/pubmed/36553544
http://dx.doi.org/10.3390/genes13122275

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