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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548766/
https://www.ncbi.nlm.nih.gov/pubmed/23228338
http://dx.doi.org/10.1186/1471-2164-13-689

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548766/
https://www.ncbi.nlm.nih.gov/pubmed/23228338
http://dx.doi.org/10.1186/1471-2164-13-689

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