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- Title
Modeling Sage data with a truncated gamma-Poisson model.
- Authors
Thygesen, Helene H; Zwinderman, Aeilko H
- Abstract
Serial Analysis of Gene Expressions (SAGE) produces gene expression measurements on a discrete scale, due to the finite number of molecules in the sample. This means that part of the variance in SAGE data should be understood as the sampling error in a binomial or Poisson distribution, whereas other variance sources, in particular biological variance, should be modeled using a continuous distribution function, i.e. a prior on the intensity of the Poisson distribution. One challenge is that such a model predicts a large number of genes with zero counts, which cannot be observed.
- Publication
BMC bioinformatics, 2006, Vol 7, p157
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-7-157