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Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework

BACKGROUND: Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated sequence based tags. Standard analyses of SAGE data, however, ignore the fact that the probability of generating an observable tag varies across ge...

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Detalles Bibliográficos
Autores principales: Gilchrist, Michael A, Qin, Hong, Zaretzki, Russell
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2217564/
https://www.ncbi.nlm.nih.gov/pubmed/17945026
http://dx.doi.org/10.1186/1471-2105-8-403