A Granular Hierarchical Approach to Biophysical and Biochemical Evaluations of Transgenic Modifications

A novel information-theoretical systems approach for the comparative analysis of multivariable organismal level data is proposed. The system structure is hierarchical, represented as multiple levels of granulation. It is used to model biological transgenic modifications measured on an organism. Experimental evaluation showed the approach being successful in detecting known biochemical and biophysical variable interactions.

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