Journal of Applied Sciences ›› 2005, Vol. 23 ›› Issue (2): 187-191.

• Articles • Previous Articles     Next Articles

ANN-CE: An Improved Neural Network Method for Predicting DNA Binding Sites

XU Dong, WANG Yi-fei   

  1. College of Sciences, Shanghai University, Shanghai 200444, China
  • Received:2003-12-15 Revised:2004-02-16 Online:2005-03-31 Published:2005-03-31

Abstract: The neural network technology has achieved great success in the field of bio-sequence analysis.But a neural network based on MSSE is not the final solution to the problem of predicting DNA binding sites.In this paper, An improved neural network method, ANN-CE, to predict DNA binding sites is presented.It is a three layered back-propagation neural network in which the error function is a cross entropy function.The result shows that the predicted sensitivity and specificity of ANN-CE increased by 11.40% and 11.91% respectively compared with the back-propagation neural network based on MSSE with the same architecture.

Key words: BP neural network, gene regulation, DNA binding site, cross entropy

CLC Number: