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Summary: BioMed Central
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(page number not for citation purposes)
BMC Bioinformatics
Open AccessMethodology article
Assessing and selecting gene expression signals based upon the
quality of the measured dynamics
Eric Yang and Ioannis P Androulakis*
Address: Biomedical Engineering Department, Rutgers University, Piscataway, New Jersey, USA
Email: Eric Yang - eyang@eden.rutgers.edu; Ioannis P Androulakis* - yannis@rci.rutgers.edu
* Corresponding author
Abstract
Background: One of the challenges with modeling the temporal progression of biological signals
is dealing with the effect of noise and the limited number of replicates at each time point. Given the
rising interest in utilizing predictive mathematical models to describe the biological response of an
organism or analysis such as clustering and gene ontology enrichment, it is important to determine
whether the dynamic progression of the data has been accurately captured despite the limited
number of replicates, such that one can have confidence that the results of the analysis are
capturing important salient dynamic features.
Results: By pre-selecting genes based upon quality before the identification of differential
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