RODES (Reversing Ordinary Differential Equations Systems) are reverse engineering algorithms for drug gene networks, based on artificial intelligence methods: neural networks for identification and control, and genetic programming for symbolic regression. It takes as inputs high-throughput (e.g., microarray) time-series data and automatically infer an accurate ordinary differential equations model, revealing the networks structure and parameter and giving insights into the molecular mechanisms involved.

ARTICLE

Also a chapter in a book, this article is open-access: http://sciyo.com/articles/show/title/toward-personalized-therapy-using-artificial-intelligence-tools-to-understand-and-control-drug-gene-