Title :
Discriminating DNA Sequences from Terahertz Spectroscopy - A Wavelet Domain Analysis
Author :
Weng, Binwei ; Xuan, Guangchi ; Kolodzey, J. ; Barner, K.E.
Author_Institution :
Department of Electrical and Computer Engineering, University of Delaware, Newark, DE 19716, USA
Abstract :
DNA sequence analysis has been widely studied by geneexpression microarray techniques. Few results, however, have been provided by Terahertz spectroscopy which reveals the absorbtion or reflectance percentage from different DNA sequences. Previous Terahertz methods have lacked a quantitative analysis of the spectroscopy features, and no definitive conclusion regarding the data can be easily drawn. In this paper, we use a data clustering approach which gives a quantitative interpretation of the DNA spectroscopy. The wavelet transform is applied to extract features from the original measurements. The data is subsequently partitioned by a hierarchical clustering method. Experimental results of Terahertz spectroscopy of several different DNA samples show that the wavelet domain analysis aids the clustering process and yields clustering of higher validity than that obtained from the raw data.
Keywords :
Clustering methods; DNA; Data mining; Feature extraction; Reflectivity; Sequences; Spectroscopy; Wavelet analysis; Wavelet domain; Wavelet transforms;
Conference_Titel :
Bioengineering Conference, 2006. Proceedings of the IEEE 32nd Annual Northeast
Conference_Location :
Easton, PA, USA
Print_ISBN :
0-7803-9563-8
DOI :
10.1109/NEBC.2006.1629827
