Literature aided determination of data quality and statistical significance threshold for gene expression studies

BACKGROUND: Gene expression data are noisy due to technical and biological variability. Consequently, analysis of gene expression data is complex. Different statistical methods produce distinct sets of genes. In addition, selection of expression p-value (EPv) threshold is somewhat arbitrary. In this...

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Detalles Bibliográficos
Autores principales: Xu, Lijing, Cheng, Cheng, George, E Olusegun, Homayouni, Ramin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3535704/
https://www.ncbi.nlm.nih.gov/pubmed/23282414
http://dx.doi.org/10.1186/1471-2164-13-S8-S23

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3535704/
https://www.ncbi.nlm.nih.gov/pubmed/23282414
http://dx.doi.org/10.1186/1471-2164-13-S8-S23

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