To infer gene networks from time-series measurements is a current challenge into bioinformatics research area. In order to detect dependencies between genes at different time delays, we propose an approach to infer gene regulatory networks from time-series measurements starting from a well known algorithm based on information theory. The proposed algorithm is expected to be useful in reconstruction of small biological directed networks from time course data.
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Zoppoli, P., Morganella, S. and Ceccarelli, M. (2010) ‘TimeDelay-ARACNE: Reverse engineering of gene networks from time-course data by an information theoretic approach’, BMC bioinformatics, 11, p. 154. doi: 10.1186/1471-2105-11-154.