Systematic Bayesian posterior analysis guided by Kullback-Leibler divergence facilitates hypothesis formation.

Huber, Holly A; Georgia, Senta K; Finley, Stacey D

Huber, Holly A; Georgia, Senta K; Finley, Stacey D.

Afiliación

Huber HA; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA.
Georgia SK; Department of Stem Cell Biology and Regenerative Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Finley SD; Department of Biomedical Engineering, University of Southern California, Los Angeles, CA 90089, USA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA; Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: sfinley@usc.edu.

J Theor Biol ; 558: 111341, 2023 02 07.

Article en En | MEDLINE | ID: mdl-36335999

Asunto(s)

Janus Quinasa 2; Modelos Teóricos; Teorema de Bayes

Palabras clave

Bayesian inference; Kullback-Leibler divergence; Mathematical model; Pancreatic beta cell; Posterior analysis; Signal transduction; Suppressor of cytokine signaling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Janus Quinasa 2 / Modelos Teóricos Tipo de estudio: Qualitative_research Idioma: En Revista: J Theor Biol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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