We introduce a new Bayesian method of data analysis which is based on a model of SAGE tag formation. Our approach incorporates the variation in the probability ...
Oct 18, 2007 · Conclusion: With a mechanistic, model based approach for SAGE data analysis, we find that inter-genic variation in SAGE tag formation is large.
5 days ago · Serial Analysis of Gene Expression (SAGE) is a high-throughput method for inferring mRNA expression levels from the experimentally generated ...
Oct 18, 2007 · Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework. Michael A. Gilchrist. University of Tennessee ...
Our approach incorporates the variation in the probability of tag formation into the interpretation of SAGE data and allows us to derive exact joint and ...
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework. https://doi.org/10.1186/1471-2105-8-403 · Full text.
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework. Michael A Gilchrist, Hong Qin, Russell Zaretzki.
Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework. BMC Bioinformatics, 2007. BookmarkDownloadEditCompare citation ...
Linked Research. Modeling SAGE tag formation and its effects on data interpretation within a Bayesian framework. Article. February 2007. Michael A Gilchrist ...
The consequences of tag formation bias are discussed in the context of testing differential expression. A description is given as to how these algorithms ...
Missing: interpretation framework.