Removing Batch Effects in Analysis of Expression Microarray Data: An Evaluation of Six Batch Adjustment Methods

The expression microarray is a frequently used approach to study gene expression on a genome-wide scale. However, the data produced by the thousands of microarray studies published annually are confounded by “batch effects,” the systematic error introduced when samples are processed in multiple batc...

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Detalles Bibliográficos
Autores principales: Chen, Chao, Grennan, Kay, Badner, Judith, Zhang, Dandan, Gershon, Elliot, Jin, Li, Liu, Chunyu
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046121/
https://www.ncbi.nlm.nih.gov/pubmed/21386892
http://dx.doi.org/10.1371/journal.pone.0017238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3046121/
https://www.ncbi.nlm.nih.gov/pubmed/21386892
http://dx.doi.org/10.1371/journal.pone.0017238

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