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Gene regulatory network inference from perturbed time-series expression data via ordered dynamical expansion of non-steady state actors
Mahdi Zamanighomi, View ORCID ProfileMostafa Zamanian, View ORCID ProfileMichael Kimber, View ORCID ProfileZhengdao Wang
doi: https://doi.org/10.1101/007906
Mahdi Zamanighomi
*Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, 50010 USA
Mostafa Zamanian
†Department of Molecular Biosciences, Northwestern University, Evanston, IL, USA
‡Department of Biomedical Sciences, Iowa State University, Ames, IA, 50010 USA
Michael Kimber
‡Department of Biomedical Sciences, Iowa State University, Ames, IA, 50010 USA
Zhengdao Wang
*Department of Electrical and Computer Engineering, Iowa State University, Ames, IA, 50010 USA
Article usage
Posted January 30, 2015.
Gene regulatory network inference from perturbed time-series expression data via ordered dynamical expansion of non-steady state actors
Mahdi Zamanighomi, Mostafa Zamanian, Michael Kimber, Zhengdao Wang
bioRxiv 007906; doi: https://doi.org/10.1101/007906
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