Bayesian variable selection logistic regression with paired proteomic measurements

We explore the problem of variable selection in a case‐control setting with mass spectrometry proteomic data consisting of paired measurements. Each pair corresponds to a distinct isotope cluster and each component within pair represents a summary of isotopic expression based on either the intensity...

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Detalles Bibliográficos
Autores principales: Kakourou, Alexia, Mertens, Bart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
General Biometry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175404/
https://www.ncbi.nlm.nih.gov/pubmed/29943441
http://dx.doi.org/10.1002/bimj.201700182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6175404/
https://www.ncbi.nlm.nih.gov/pubmed/29943441
http://dx.doi.org/10.1002/bimj.201700182

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