This paper describes characteristic features of networks reconstructed from gene expression time series data. Several null models are considered in order to discriminate between informations embedded in the network that are related to real data, and features that are due to the method used for network reconstruction (time correlation).
@article{arxiv.q-bio/0611043,
title = {Networks from gene expression time series: characterization of correlation patterns},
author = {D. Remondini and N. Neretti and J. M. Sedivy and C. Franceschi and L. Milanesi and P. Tieri and G. C. Castellani},
journal= {arXiv preprint arXiv:q-bio/0611043},
year = {2015}
}
Comments
10 pages, 3 BMP figures, 1 Table. To appear in Int. J. Bif. Chaos, July 2007, Volume 17, Issue 7