Summary
the 2014 International Symposium on Nonlinear Theory and its Applications
2014
Session Number:D1L-D
Session:
Number:D1L-D3
The Inference method of the Gene Regulatory Network using RBF Networks
Naoyuki Kizaki, Hiroaki Kurokawa,
pp.703-706
Publication Date:2014/9/14
Online ISSN:2188-5079
Summary:
In this study, we propose the inference method of the Gene Regulatory Network(GRN) using the Radial Basis Function(RBF) network. The method using the RBF network improves inference time, but it does not show a good performance on the accuracy of the inference. Then, in our proposed method, a majority rule is applied to improve the accuracy. Our proposed method is evaluated by trials of the inference of artificially defined gene regulatory networks and a practical network.