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Combining heterogeneous subgroups with graph-structured variable selection priors for Cox regression
BACKGROUND: Important objectives in cancer research are the prediction of a patient’s risk based on molecular measurements such as gene expression data and the identification of new prognostic biomarkers (e.g. genes). In clinical practice, this is often challenging because patient cohorts are typica...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8665528/ https://www.ncbi.nlm.nih.gov/pubmed/34895139 http://dx.doi.org/10.1186/s12859-021-04483-z |