A neural network for modeling the process of transcriptional control in eukaryotic cells

Abstract

A neural network approach is proposed for modeling the process of transcriptional initiation control in eukaryotic cells. Although all of the steps involved in expressing a eukaryotic gene can in principle be regulated, for most genes the initiation of RNA transcription (transcriptional control) predominates. Static and dynamic artificial neural networks are taken as modeling methods. A single‐hidden layer feedforward neural network model learns to identify the transcriptional system input‐output relationship.

Citation

Saci, E.A. and Cherruault, Y. (1999), "A neural network for modeling the process of transcriptional control in eukaryotic cells", Kybernetes, Vol. 28 No. 6/7, pp. 726-731. https://doi.org/10.1108/03684929910282971