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A Structural Approach to Disentangle the Visualization of Bipartite Biological Networks
Joint Authors
Garcia-Algarra, J.
Pastor, J. M.
Mouronte, M. L.
Galeano, J.
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-28
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Interactions between two different guilds of entities are pervasive in biology.
They may happen at molecular level, like in a diseasome, or amongst individuals linked by biotic relationships, such as mutualism or parasitism.
These sets of interactions are complex bipartite networks.
Visualization is a powerful tool to explore and analyze them, but the most common plots, the bipartite graph and the interaction matrix, become rather confusing when working with real biological networks.
We have developed two new types of visualization which exploit the structural properties of these networks to improve readability.
A technique called k-core decomposition identifies groups of nodes that share connectivity properties.
With the results of this analysis it is possible to build a plot based on information reduction (polar plot) and another which takes the groups as elementary blocks for spatial distribution (ziggurat plot).
We describe the applications of both plots and the software to create them.
American Psychological Association (APA)
Garcia-Algarra, J.& Pastor, J. M.& Mouronte, M. L.& Galeano, J.. 2018. A Structural Approach to Disentangle the Visualization of Bipartite Biological Networks. Complexity،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1135004
Modern Language Association (MLA)
Garcia-Algarra, J.…[et al.]. A Structural Approach to Disentangle the Visualization of Bipartite Biological Networks. Complexity No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1135004
American Medical Association (AMA)
Garcia-Algarra, J.& Pastor, J. M.& Mouronte, M. L.& Galeano, J.. A Structural Approach to Disentangle the Visualization of Bipartite Biological Networks. Complexity. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1135004
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1135004