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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Materias: | |
| 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 |