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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)...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2022
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| Materias: | |
| 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 |