Gene regulatory network inference from perturbed time-series expression data via ordered dynamical expansion of non-steady state actors
Mahdi Zamanighomi, Mostafa Zamanian, Michael J Kimber, Zhengdao Wang
This paper introduces a framework for inferring gene regulatory networks from perturbed time-series expression data using a step-wise approach based on non-steady state gene identification and low-complexity optimization.
bioRxiv · Jan 30, 2015Bioinformatics