Alternative empirical Bayes models for adjusting for batch effects in genomic studies

BACKGROUND: Combining genomic data sets from multiple studies is advantageous to increase statistical power in studies where logistical considerations restrict sample size or require the sequential generation of data. However, significant technical heterogeneity is commonly observed across multiple...

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Detalles Bibliográficos
Autores principales: Zhang, Yuqing, Jenkins, David F., Manimaran, Solaiappan, Johnson, W. Evan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044013/
https://www.ncbi.nlm.nih.gov/pubmed/30001694
http://dx.doi.org/10.1186/s12859-018-2263-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6044013/
https://www.ncbi.nlm.nih.gov/pubmed/30001694
http://dx.doi.org/10.1186/s12859-018-2263-6

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