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Algebraic methods for parameter-free analysis of biochemical networks

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An emerging field, `algebraic systems biology’, offers algebraic approaches to study problems systems biology, such as biochemical networks. We present an algebro-geometric method for ruling out models with limited data and unknown parameter values. We apply it to a biological system known to dysfunction in many colorectal cancers. We are currently extending the framework to include dynamics (i.e., time course data) using differential algebra elimination and will present preliminary results.

This talk is part of the CUED Control Group Seminars series.

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