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Licensed Unlicensed Requires Authentication Published by De Gruyter May 13, 2011

Inferring Gene Networks using Robust Statistical Techniques

  • Venkat R. Nadadoor , Amos Ben-Zvi and Sirish L. Shah

Inference of gene networks is an important step in understanding cellular dynamics. In this work, a novel algorithm is proposed for inferring gene networks from gene expression data using linear ordinary differential equations. Under the proposed method, a combination of known statistical tools including partial least squares (PLS), leave-one-out jackknifing, and the Akaike information criterion (AIC) are used for robust estimation of gene connectivity matrix. The proposed approach is tested and validated using a computer simulated gene network model and an experimental data on a nine gene network in Eschericia coli.

Published Online: 2011-5-13

©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston

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