Fold change and p-value cutoffs significantly alter microarray interpretations

BACKGROUND: As context is important to gene expression, so is the preprocessing of microarray to transcriptomics. Microarray data suffers from several normalization and significance problems. Arbitrary fold change (FC) cut-offs of >2 and significance p-values of <0.02 lead data collection to l...

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Detalles Bibliográficos
Autores principales: Dalman, Mark R, Deeter, Anthony, Nimishakavi, Gayathri, Duan, Zhong-Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305783/
https://www.ncbi.nlm.nih.gov/pubmed/22536862
http://dx.doi.org/10.1186/1471-2105-13-S2-S11

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3305783/
https://www.ncbi.nlm.nih.gov/pubmed/22536862
http://dx.doi.org/10.1186/1471-2105-13-S2-S11

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