A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis

Motivation: Batch effects are due to probe-specific systematic variation between groups of samples (batches) resulting from experimental features that are not of biological interest. Principal component analysis (PCA) is commonly used as a visual tool to determine whether batch effects exist after a...

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Bibliografiske detaljer
Main Authors: Reese, Sarah E., Archer, Kellie J., Therneau, Terry M., Atkinson, Elizabeth J., Vachon, Celine M., de Andrade, Mariza, Kocher, Jean-Pierre A., Eckel-Passow, Jeanette E.
Format: Artigo
Sprog:Inglês
Udgivet: Oxford University Press 2013
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Original Papers
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC3810845/
https://ncbi.nlm.nih.gov/pubmed/23958724
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btt480
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