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CINNA: An R package for deciphering Central Informative Nodes in Network Analysis

Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari
doi: https://doi.org/10.1101/168757
Minoo Ashtiani
1Drug Design and Bioinformatics Unit, Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, 69 Pasteur St, PO Box 13164, Tehran, Iran,
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Mehdi Mirzaie
2Department of Applied Mathematics, Faculty of Mathematical Sciences, Tarbiat Modares University, Jalal Ale Ahmad Highway, PO Box 14115-134, Tehran, Iran
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Mohieddin Jafari
1Drug Design and Bioinformatics Unit, Medical Biotechnology Department, Biotechnology Research Center, Pasteur Institute of Iran, 69 Pasteur St, PO Box 13164, Tehran, Iran,
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  • For correspondence: m_jafari@pasteur.ir jafareem@gmail.com
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Abstract

Nowadays, reconstructed networks originated from various contexts become more complex and larger, which make them more difficult to figure out. Recognizing influential nodes helps us to comprehend these huge networks in a convenient way. To identify these nodes, several centrality measures based on the network properties are proposed. However, excessive variation of centrality measures complicates the process of choosing appropriate centrality measure for a given network. Therefore, a simple pipeline for comparing these measures and distinguishing which one rightfully points at the central nodes is required.

The CINNA R package conveniently has brought together all required methods for net-work centrality analysis. It contains network component segregation, calculation and prioritizing centralities, along with clustering and visualization functions.

CINNA package is freely available from the R project at http://cran.r-project.org/, http://jafarilab-pasteur.com/content/software/CINNA.html

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 04, 2017.
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CINNA: An R package for deciphering Central Informative Nodes in Network Analysis
Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari
bioRxiv 168757; doi: https://doi.org/10.1101/168757
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CINNA: An R package for deciphering Central Informative Nodes in Network Analysis
Minoo Ashtiani, Mehdi Mirzaie, Mohieddin Jafari
bioRxiv 168757; doi: https://doi.org/10.1101/168757

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