Bayesian model accounting for within-class biological variability in Serial Analysis of Gene Expression (SAGE)

BACKGROUND: An important challenge for transcript counting methods such as Serial Analysis of Gene Expression (SAGE), "Digital Northern" or Massively Parallel Signature Sequencing (MPSS), is to carry out statistical analyses that account for the within-class variability, i.e., variability...

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Detalles Bibliográficos
Autores principales: Vêncio, Ricardo ZN, Brentani, Helena, Patrão, Diogo FC, Pereira, Carlos AB
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2004
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC517707/
https://www.ncbi.nlm.nih.gov/pubmed/15339345
http://dx.doi.org/10.1186/1471-2105-5-119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC517707/
https://www.ncbi.nlm.nih.gov/pubmed/15339345
http://dx.doi.org/10.1186/1471-2105-5-119

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