Title :
Analysis of order preserving genes biclusters
Author :
Tchagang, Alain B. ; Tewfik, Ahmed H. ; Skubitz, Amy P N
Author_Institution :
Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN
Abstract :
In this paper, we describe an approach for finding all order preserving genes biclusters from a set of DNA microarray experimental data that combines the algorithm that finds biclusters with constant values on columns developed in one of our previous study with an adaptive gene expression level quantization procedure. All the biclusters discovered with the proposed methodology have no imperfections and, the complexity of the algorithm is shown to be lower than that of previous approaches. Application of the method to ovarian cancer data seems to reveal significant local pattern.
Keywords :
DNA; biology computing; data analysis; genetics; matrix algebra; molecular biophysics; pattern clustering; DNA microarray experimental data set; adaptive gene expression level quantization; order preserving gene bicluster analysis; rank order matrix; Cancer; Cost function; DNA computing; Data engineering; Diseases; Drugs; Gene expression; Pathology; Quantization; Sequences;
Conference_Titel :
Genomic Signal Processing and Statistics, 2006. GENSIPS '06. IEEE International Workshop on
Conference_Location :
College Station, TX
Print_ISBN :
1-4244-0384-7
Electronic_ISBN :
1-4244-0385-5
DOI :
10.1109/GENSIPS.2006.353176