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.