Neural Networks in Transcription Networks: An Alternative and Complementary Approach for the Observer-Based Method

Abstract

On the current manuscript, we dissert on the application of Artificial Neural Network (ANN) as alternative and complementary approach for the observer-based method in transcription network, which is a recent proposed tool for modeling transcription networks. In view of that, it is claimed that neural networks as models for applied mathematics may solve the problem of gene expression estimation addressed by the technique with some advantages inherent in the technique compared to the observer-based method, the target is enforcement, not denying. Thus, systems biology is the gene based science under attention and computational intelligence is the intelligence-based tool under investigation.