OSAT: a tool for sample-to-batch allocations in genomics experiments

BACKGROUND: Batch effect is one type of variability that is not of primary interest but ubiquitous in sizable genomic experiments. To minimize the impact of batch effects, an ideal experiment design should ensure the even distribution of biological groups and confounding factors across batches. Howe...

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Detalhes bibliográficos
Main Authors: Yan, Li, Ma, Changxing, Wang, Dan, Hu, Qiang, Qin, Maochun, Conroy, Jeffrey M, Sucheston, Lara E, Ambrosone, Christine B, Johnson, Candace S, Wang, Jianmin, Liu, Song
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2012
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Software
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3548766/
https://ncbi.nlm.nih.gov/pubmed/23228338
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-13-689
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