The complexity of gene regulatory network models stems from the fact that the models should be able to represent continuous, discrete as well as stochastic aspects of gene regulati...
— Inspired from bacteria, a gene regulatory network model for signal transduction is presented in this paper. After describing experiments on stabilizing the population size for ...
Neale Samways, Yaochu Jin, Xin Yao, Bernhard Sendh...
: Recently, many approaches to model regulatory networks have been proposed in the systems biology domain, however the task is far from being solved. In this paper we propose an an...
Timur Fayruzov, Jeroen Janssen, Dirk Vermeir, Chri...
Background: This work explores the quantitative characteristics of the local transcriptional regulatory network based on the availability of time dependent gene expression data se...
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
Rui Xu, Ganesh K. Venayagamoorthy, Donald C. Wunsc...