A benchmark for statistical microarray data analysis that preserves actual biological and technical variance

BACKGROUND: Recent reanalysis of spike-in datasets underscored the need for new and more accurate benchmark datasets for statistical microarray analysis. We present here a fresh method using biologically-relevant data to evaluate the performance of statistical methods. RESULTS: Our novel method rank...

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Detalles Bibliográficos
Autores principales: De Hertogh, Benoît, De Meulder, Bertrand, Berger, Fabrice, Pierre, Michael, Bareke, Eric, Gaigneaux, Anthoula, Depiereux, Eric
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Methodology article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831002/
https://www.ncbi.nlm.nih.gov/pubmed/20064233
http://dx.doi.org/10.1186/1471-2105-11-17

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2831002/
https://www.ncbi.nlm.nih.gov/pubmed/20064233
http://dx.doi.org/10.1186/1471-2105-11-17

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