Transcriptomic pan‐cancer analysis using rank‐based Bayesian inference

The analysis of whole genomes of pan‐cancer data sets provides a challenge for researchers, and we contribute to the literature concerning the identification of robust subgroups with clear biological interpretation. Specifically, we tackle this unsupervised problem via a novel rank‐based Bayesian cl...

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Detalles Bibliográficos
Autores principales: Vitelli, Valeria, Fleischer, Thomas, Ankill, Jørgen, Arjas, Elja, Frigessi, Arnoldo, Kristensen, Vessela N., Zucknick, Manuela
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061294/
https://www.ncbi.nlm.nih.gov/pubmed/36562628
http://dx.doi.org/10.1002/1878-0261.13354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10061294/
https://www.ncbi.nlm.nih.gov/pubmed/36562628
http://dx.doi.org/10.1002/1878-0261.13354

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