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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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| 主要な著者: | , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2007
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2217564/ https://ncbi.nlm.nih.gov/pubmed/17945026 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-403 |
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