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...

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Detalles Bibliográficos
Autores principales: Wu, Jian, Lenchik, Nataliya I, Gerling, Ivan C
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Research
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

Internet

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

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