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Variation of RNA Quality and Quantity Are Major Sources of Batch Effects in Microarray Expression Data
The great utility of microarrays for genome-scale expression analysis is challenged by the widespread presence of batch effects, which bias expression measurements in particular within large data sets. These unwanted technical artifacts can obscure biological variation and thus significantly reduce...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2014
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4979052/ https://www.ncbi.nlm.nih.gov/pubmed/27600351 http://dx.doi.org/10.3390/microarrays3040322 |