Title :
A Granular Hierarchical Approach to Biophysical and Biochemical Evaluations of Transgenic Modifications
Author :
Gadish, Moshe A. ; Chiu, David K. ; Forsberg, Cecil W. ; Golovan, Serfuei P.
Author_Institution :
Dept. of Comput. & Inf. Sci., Univ. of Guelph, Guelph, ON, Canada
Abstract :
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.
Keywords :
biochemistry; biology computing; data analysis; genetics; biochemical variable interaction; biological transgenic modification; biophysical variable interaction; granular hierarchical approach; information-theoretical system; multivariable organismal level data analysis; Animal structures; Bioinformatics; Biological system modeling; Biology computing; Gene expression; Information analysis; Mutual information; Organisms; Performance analysis; Systems biology; bioinformatics; granular computing; mutual information; systems biology; transgenic organism;
Conference_Titel :
Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3739-9
DOI :
10.1109/IJCBS.2009.114