Table of Contents
ISRN Computational Biology
Volume 2013, Article ID 719138, 11 pages
http://dx.doi.org/10.1155/2013/719138
Research Article

Effective Single-Step Posttranscriptional Dynamics Allowing for a Direct Maximum Likelihood Estimation of Transcriptional Activity and the Quantification of Sources of Gene Expression Variability with an Illustration for the Hypoxia and TNFα Regulated Inflammatory Pathway

1Center for the Ecological Study of Perception and Action, Department of Psychology, University of Connecticut, 406 Babbidge Road, Storrs, CT 06269, USA
2Systems Biology Ireland (SBI), University College Dublin, Belfield, Dublin 4, Ireland

Received 31 May 2013; Accepted 31 July 2013

Academic Editors: S. Kalyana-Sundaram and B. Oliva

Copyright © 2013 T. D. Frank et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

T. D. Frank, A. J. F. Collins, and A. Cheong, “Effective Single-Step Posttranscriptional Dynamics Allowing for a Direct Maximum Likelihood Estimation of Transcriptional Activity and the Quantification of Sources of Gene Expression Variability with an Illustration for the Hypoxia and TNFα Regulated Inflammatory Pathway,” ISRN Computational Biology, vol. 2013, Article ID 719138, 11 pages, 2013. https://doi.org/10.1155/2013/719138.