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There have been several studies of the genome-wide temporal transcriptionalprogram of viruses, based on microarray experiments, which are generally usefulin the construction of gene regulation network. It seems that biologicalinterpretations in these studies are directly based on the normalized data andsome crude statistics, which provide rough estimates of limited features of theprofile and may incur biases. This paper introduces a hierarchical Bayesianshape restricted regression method for making inference on the time courseexpression of virus genes. Estimates of many salient features of the expressionprofile like onset time, inflection point, maximum value, time to maximumvalue, area under curve, etc. can be obtained immediately by this method.Applying this method to a baculovirus microarray time course expression dataset, we indicate that many biological questions can be formulatedquantitatively and we are able to offer insights into the baculovirus biology.

Profiling time course expression of virus genes---an illustration of Bayesian inference under shape restrictions