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Approaches to reduce false positives and false negatives in the analysis of microarray data: applications in type 1 diabetes research
BACKGROUND: As studies of molecular biology system attempt to achieve a comprehensive understanding of a particular system, Type 1 errors may be a significant problem. However, few investigators are inclined to accept the increase in Type 2 errors (false positives) that may result when less stringen...
| Autores principales: | , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559876/ https://www.ncbi.nlm.nih.gov/pubmed/18831777 http://dx.doi.org/10.1186/1471-2164-9-S2-S12 |