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

fYear

2009

fDate

3-5 Aug. 2009

Firstpage

417

Lastpage

421

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IJCBS.2009.114

Filename

5260616