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This article is part of the supplement: BioSysBio 2007: Systems Biology, Bioinformatics, Synthetic Biology

Open Access Poster presentation

Microarrays expression measurement

Richard Pearson

Author Affiliations

School of Computer Science, University of Manchester, Manchester, UK

BMC Systems Biology 2007, 1(Suppl 1):P67  doi:10.1186/1752-0509-1-S1-P67

The electronic version of this article is the complete one and can be found online at:

Published:8 May 2007

© 2007 Pearson; licensee BioMed Central Ltd.

Poster presentation

Microarrays can measure the expression levels of all genes within a species. This can give insight into the molecular basis of stress responses in plants. Recent microarray analysis methods can give probability distributions of expression levels as well as point estimates, which can be propagating through subsequent analyses yielding improved results. Such methods are currently slow, applicable only to certain types of arrays, and cannot be applied to multi-factorial experiments. There are also no methods available for analyzing multi-species experiments. Our work aims to address all these shortcomings of current analysis methods, and create a Propagating Uncertainty in MicroArrays (puma) package for biologists.