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.
|Author||Zoppoli P.,Morganella S., Ceccarelli M.|
|Bioconductor views||Microarray TimeCourse|
|Maintainer||Zoppoli Pietro <[email protected]>|
|Package repository||View on GitHub|
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