Title :
Differential gene expression graphs: A data structure for classification in DNA microarrays
Author :
Benso, Alfredo ; Di Carlo, Stefano ; Politano, Gianfranco ; Sterpone, Luca
Author_Institution :
Dept. of Control & Comput. Eng., Politec. di Torino, Torino
Abstract :
This paper proposes an innovative data structure to be used as a backbone in designing microarray phenotype sample classifiers. The data structure is based on graphs and it is built from a differential analysis of the expression levels of healthy and diseased tissue samples in a microarray dataset. The proposed data structure is built in such a way that, by construction, it shows a number of properties that are perfectly suited to address several problems like feature extraction, clustering, and classification.
Keywords :
DNA; bioinformatics; genetics; graph theory; DNA microarrays classification; clustering; data structure; differential gene expression graph; feature extraction; phenotype sample classifiers; Classification tree analysis; DNA; Data analysis; Data structures; Decision trees; Diseases; Feature extraction; Gene expression; Spine; Tree data structures;
Conference_Titel :
BioInformatics and BioEngineering, 2008. BIBE 2008. 8th IEEE International Conference on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-2844-1
Electronic_ISBN :
978-1-4244-2845-8
DOI :
10.1109/BIBE.2008.4696689
