Topological and statistical analyses of gene regulatory networks reveal unifying yet quantitatively different emergent properties

Wilberforce Zachary Ouma; Katja Pogacar; Erich Grotewold

doi:10.1371/journal.pcbi.1006098

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Open Access

Peer-reviewed

Research Article

Topological and statistical analyses of gene regulatory networks reveal unifying yet quantitatively different emergent properties

Wilberforce Zachary Ouma,

Roles Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation Molecular and Cellular Imaging Center (MCIC), Ohio Agricultural and Research Development Center (OARDC), Ohio State University, Wooster, OH, United States of America
⨯
Katja Pogacar,

Roles Data curation, Formal analysis

Affiliation Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, United States of America
⨯
Erich Grotewold

Roles Funding acquisition, Supervision, Writing – review & editing

* E-mail: grotewol@msu.edu

Affiliation Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, United States of America

http://orcid.org/0000-0002-4720-7290

⨯

Topological and statistical analyses of gene regulatory networks reveal unifying yet quantitatively different emergent properties

Wilberforce Zachary Ouma,
Katja Pogacar,
Erich Grotewold

Published: April 30, 2018
https://doi.org/10.1371/journal.pcbi.1006098

About the Authors

Wilberforce Zachary Ouma

Roles Formal analysis, Methodology, Software, Writing – original draft, Writing – review & editing

Affiliation Molecular and Cellular Imaging Center (MCIC), Ohio Agricultural and Research Development Center (OARDC), Ohio State University, Wooster, OH, United States of America

Katja Pogacar

Roles Data curation, Formal analysis

Affiliation Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, United States of America

Erich Grotewold

Roles Funding acquisition, Supervision, Writing – review & editing

* E-mail: grotewol@msu.edu

Affiliation Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, United States of America

http://orcid.org/0000-0002-4720-7290

Competing Interests

The authors have declared that no competing interests exist.

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Saccharomyces cerevisiae
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Drosophila melanogaster
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Caenorhabditis elegans
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Scale-free networks
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Arabidopsis thaliana
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Invertebrate genomics
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Gene regulation
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Protein interaction networks
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