Constructing Time-Varying Gene Regulatory Networks

DOI

10.2991/icibet.2013.11How to use a DOI?

Abstract

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.

Copyright

© 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/).

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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  -