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...

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Detalles Bibliográficos
Autores principales: Madjar, Katrin, Zucknick, Manuela, Ickstadt, Katja, Rahnenführer, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
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

Internet

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

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