Learning Individual Survival Models from PanCancer Whole Transcriptome Data

PURPOSE: Personalized medicine attempts to predict survival time for each patient, based on their individual tumor molecular profile. We investigate whether our survival learner in combination with a dimension reduction method can produce useful survival estimates for a variety of patients with canc...

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Detalles Bibliográficos
Autores principales: Kumar, Neeraj, Skubleny, Daniel, Parkes, Michael, Verma, Ruchika, Davis, Sacha, Kumar, Luke, Aissiou, Amira, Greiner, Russell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Precision Medicine and Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543961/
https://www.ncbi.nlm.nih.gov/pubmed/37463063
http://dx.doi.org/10.1158/1078-0432.CCR-22-3493

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543961/
https://www.ncbi.nlm.nih.gov/pubmed/37463063
http://dx.doi.org/10.1158/1078-0432.CCR-22-3493

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