Constructing Time-Varying Gene Regulatory Networks
Xiaohong Ni, Yingfei Sun
Available Online March 2013.
- 10.2991/icibet.2013.11How to use a DOI?
Discovered gene regulation networks are very helpful to understand biological mechanisms and predict unknown gene functions. Little literature has been done toward estimating time-varying networks from time series data. In this paper, we develop a new method to discover the dynamic, and delay interactions between genes based on gene expression data. The method builds on time lagged mutual in-formation and a temporally smoothed l1-regularized logistic regression. To evalu-ate our method, we use both simulated and biological data from the yeast cell cycle in regulatory networks modeling. Results demonstrate the superior perfor-mance of our method.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xiaohong Ni AU - Yingfei Sun PY - 2013/03 DA - 2013/03 TI - Constructing Time-Varying Gene Regulatory Networks BT - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013) PB - Atlantis Press SP - 49 EP - 52 SN - 1951-6851 UR - https://doi.org/10.2991/icibet.2013.11 DO - 10.2991/icibet.2013.11 ID - Ni2013/03 ER -