In the original article, the author Xue Zhang's affiliation is “Department of Computer Science, Xiangnan University, Hunan, China”. Because the author changed her affiliation to “School of Computer and Software Engineering, Huaiyin Institute of Technology, Huai'an, Jiangsu, China” and the publishing fees will be paid by the new affiliation, this has been added as a present address.
The original article has been updated.
Statements
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Summary
Keywords
essential genes/proteins, machine learning, systems biology, prediction models, network topological features
Citation
Zhang X, Acencio ML and Lemke N (2016) Corrigendum: Predicting Essential Genes and Proteins Based on Machine Learning and Network Topological Features: A Comprehensive Review. Front. Physiol. 7:617. doi: 10.3389/fphys.2016.00617
Received
01 November 2016
Accepted
25 November 2016
Published
06 December 2016
Volume
7 - 2016
Edited and reviewed by
Josselin Noirel, Conservatoire National des Arts et Métiers, France
Updates
Copyright
© 2016 Zhang, Acencio and Lemke.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xue Zhang lindajia03@gmail.com
†Present Address: Xue Zhang, School of Computer and Software Engineering, Huaiyin Institute of Technology, Huai’an, Jiangsu, China Marcio L. Acencio, Department of Cancer Research and Molecular Medicine, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway
This article was submitted to Systems Biology, a section of the journal Frontiers in Physiology
‡These authors have contributed equally to this work.
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