Title :
Classification of eukaryotic and prokaryotic cells by a backpropagation network
Author :
Kristensen, Terje ; Patel, Ruben
Author_Institution :
Dept. of Comput. Sci., Bergen Univ. Coll., Norway
Abstract :
In this paper we show how a Backpropagation neural network is used to classify between eukaryotic and prokaryotic cells. The classification is based on their DNA (Deoxyribonuclei) sequences which are obtained from different databases available on the Internet. The sequences are first preprocessed using a sliding window technique to obtain sub-sequence frequencies, and then normalised to make them comparable.
Keywords :
DNA; backpropagation; biology computing; molecular biophysics; neural nets; DNA sequence; backpropagation neural network; cell classification; deoxyribonucleic acid; eukaryotic cell; prokaryotic cell; sliding window technique; subsequence frequencies; Backpropagation; Bioinformatics; Biology computing; DNA; Frequency; Genomics; Humans; Neural networks; Neurons; Sequences;
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
Print_ISBN :
0-7803-7898-9
DOI :
10.1109/IJCNN.2003.1223666