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Rank‐based Bayesian variable selection for genome‐wide transcriptomic analyses

Variable selection is crucial in high‐dimensional omics‐based analyses, since it is biologically reasonable to assume only a subset of non‐noisy features contributes to the data structures. However, the task is particularly hard in an unsupervised setting, and a priori ad hoc variable selection is s...

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Detalles Bibliográficos
Autores principales:	Eliseussen, Emilie, Fleischer, Thomas, Vitelli, Valeria
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley & Sons, Inc. 2022
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796757/ https://www.ncbi.nlm.nih.gov/pubmed/35844145 http://dx.doi.org/10.1002/sim.9524

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