A power law global error model for the identification of differentially expressed genes in microarray data

BACKGROUND: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiology, disease or intervention. Methods for the identification of these so-called "differentially expressed genes"...

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Detalles Bibliográficos
Autores principales: Pavelka, Norman, Pelizzola, Mattia, Vizzardelli, Caterina, Capozzoli, Monica, Splendiani, Andrea, Granucci, Francesca, Ricciardi-Castagnoli, Paola
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC545082/
https://www.ncbi.nlm.nih.gov/pubmed/15606915
http://dx.doi.org/10.1186/1471-2105-5-203

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC545082/
https://www.ncbi.nlm.nih.gov/pubmed/15606915
http://dx.doi.org/10.1186/1471-2105-5-203

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