Title :
Classification of DNA Sequences Basing on the Dinucleotide Compositions
Author :
You, Wei ; Wang, Kun ; Li, Huixiao ; Jia, Yang ; Wu, Xiaoqin ; Du, Yaning
Author_Institution :
Dept. of Mech. & Electr. Eng., North China Inst. of Sci. & Technol., Beijing, China
Abstract :
DNA sequences of several bacteria were classified using artificial neural network model. The ¿dinucleotides compositions¿ method was used to characterize the DNA sequences which transform every DNA sequence to a 16-dimension vector. Back-propagation artificial neural network was developed and trained using ¿leave-one-out¿ method. Results showed that the accuracy of classification was 84.3%, which proved that the model was satisfactory in summary. However, the author stated that the applicability of the characterization strategy needs to be improved.
Keywords :
DNA; backpropagation; biology computing; biotechnology; data analysis; microorganisms; neural nets; pattern classification; DNA sequence classification; backpropagation artificial neural network; bacteria; dinucleotide composition; leave-one-out method; Artificial neural networks; Bioinformatics; Computational intelligence; Computer errors; DNA; Genomics; Microorganisms; Predictive models; Sequences; Statistical analysis;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.244
