| 摘要 |
Gene regulation network is reconstructed using time series microarray data under the method of the Bayesian network. Particular power-law function is used to calculate the joint probabilities among genes across time points. This invention discloses the use of the downhill simplex algorithm to find global maxima of interrelational likelihood. Arcs with higher frequencies are selected to establish the gene regulation network. Prior knowledge may be included into candidate gene networks to accelerate search for best networks.
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