Classical and Bayesian random-effects meta-analysis models with sample quality weights in gene expression studies

BACKGROUND: Random-effects (RE) models are commonly applied to account for heterogeneity in effect sizes in gene expression meta-analysis. The degree of heterogeneity may differ due to inconsistencies in sample quality. High heterogeneity can arise in meta-analyses containing poor quality samples. W...

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Detalles Bibliográficos
Autores principales: Siangphoe, Uma, Archer, Kellie J., Mukhopadhyay, Nitai D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327440/
https://www.ncbi.nlm.nih.gov/pubmed/30626315
http://dx.doi.org/10.1186/s12859-018-2491-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6327440/
https://www.ncbi.nlm.nih.gov/pubmed/30626315
http://dx.doi.org/10.1186/s12859-018-2491-9

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