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Correction of technical bias in clinical microarray data improves concordance with known biological information
The performance of gene expression microarrays has been well characterized using controlled reference samples, but the performance on clinical samples remains less clear. We identified sources of technical bias affecting many genes in concert, thus causing spurious correlations in clinical data sets...
Autores principales: | Eklund, Aron C, Szallasi, Zoltan |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2374720/ https://www.ncbi.nlm.nih.gov/pubmed/18248669 http://dx.doi.org/10.1186/gb-2008-9-2-r26 |
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