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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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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BMC
2004
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC517707/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15339345/ https://ncbi.nlm.nih.govhttps://doi.org/10.1186/1471-2105-5-119 |
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