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A new computational model captures fundamental architectural features of diverse biological networks
Bader Al-Anzi, Noah Olsman, Christopher Ormerod, Sherif Gerges, Georgios Piliouras, John Ormerod, Kai Zinn
doi: https://doi.org/10.1101/046813
Bader Al-Anzi
1Division of Biology and Biological Engineering
Noah Olsman
2Control and Dynamical Systems Option, Division of Engineering and Applied Sciences
Christopher Ormerod
3Division of Physics, Mathematics, and Astronomy, California Institute of Technology, Pasadena, CA 91125
Sherif Gerges
4Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08540
Georgios Piliouras
5Singapore University of Technology and Design, Engineering Systems and Design (ESD), 8 Somapah Road, Singapore 487372
John Ormerod
6School of Mathematics and Statistics F07, University of Sydney NSW 2006, Australia
Kai Zinn
1Division of Biology and Biological Engineering
Article usage
Posted April 02, 2016.
A new computational model captures fundamental architectural features of diverse biological networks
Bader Al-Anzi, Noah Olsman, Christopher Ormerod, Sherif Gerges, Georgios Piliouras, John Ormerod, Kai Zinn
bioRxiv 046813; doi: https://doi.org/10.1101/046813
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