Polygenic risk modeling of tumor stage and survival in bladder cancer

INTRODUCTION: Bladder cancer assessment with non-invasive gene expression signatures facilitates the detection of patients at risk and surveillance of their status, bypassing the discomforts given by cystoscopy. To achieve accurate cancer estimation, analysis pipelines for gene expression data (GED)...

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Detalles Bibliográficos
Autores principales: Nascimben, Mauro, Rimondini, Lia, Corà, Davide, Venturin, Manolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523990/
https://www.ncbi.nlm.nih.gov/pubmed/36175974
http://dx.doi.org/10.1186/s13040-022-00306-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523990/
https://www.ncbi.nlm.nih.gov/pubmed/36175974
http://dx.doi.org/10.1186/s13040-022-00306-w

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