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CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks
Summary: CytoCom is an interactive plugin for Cytoscape that can be used to search, explore, analyse and visualize human disease comorbidity network. It represents disease–disease associations in terms of bipartite graphs and provides International Classification of Diseases, Ninth Revision (ICD9)-c...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380025/ https://www.ncbi.nlm.nih.gov/pubmed/25380962 http://dx.doi.org/10.1093/bioinformatics/btu731 |
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author | Moni, Mohammad Ali Xu, Haoming Liò, Pietro |
author_facet | Moni, Mohammad Ali Xu, Haoming Liò, Pietro |
author_sort | Moni, Mohammad Ali |
collection | PubMed |
description | Summary: CytoCom is an interactive plugin for Cytoscape that can be used to search, explore, analyse and visualize human disease comorbidity network. It represents disease–disease associations in terms of bipartite graphs and provides International Classification of Diseases, Ninth Revision (ICD9)-centric and disease name centric views of disease information. It allows users to find associations between diseases based on the two measures: Relative Risk (RR) and [Formula: see text]-correlation values. In the disease network, the size of each node is based on the prevalence of that disease. CytoCom is capable of clustering disease network based on the ICD9 disease category. It provides user-friendly access that facilitates exploration of human diseases, and finds additional associated diseases by double-clicking a node in the existing network. Additional comorbid diseases are then connected to the existing network. It is able to assist users for interpretation and exploration of the human diseases by a variety of built-in functions. Moreover, CytoCom permits multi-colouring of disease nodes according to standard disease classification for expedient visualization. Availability and implementation: CytoCom is compatible with CytoScape 3.1.0 or later version. Please visit http://www.cl.cam.ac.uk/∼mam211/ for user tutorial and download. Contact: Mohammad.Moni@cl.cam.ac.uk |
format | Online Article Text |
id | pubmed-4380025 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43800252015-04-15 CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks Moni, Mohammad Ali Xu, Haoming Liò, Pietro Bioinformatics Applications Notes Summary: CytoCom is an interactive plugin for Cytoscape that can be used to search, explore, analyse and visualize human disease comorbidity network. It represents disease–disease associations in terms of bipartite graphs and provides International Classification of Diseases, Ninth Revision (ICD9)-centric and disease name centric views of disease information. It allows users to find associations between diseases based on the two measures: Relative Risk (RR) and [Formula: see text]-correlation values. In the disease network, the size of each node is based on the prevalence of that disease. CytoCom is capable of clustering disease network based on the ICD9 disease category. It provides user-friendly access that facilitates exploration of human diseases, and finds additional associated diseases by double-clicking a node in the existing network. Additional comorbid diseases are then connected to the existing network. It is able to assist users for interpretation and exploration of the human diseases by a variety of built-in functions. Moreover, CytoCom permits multi-colouring of disease nodes according to standard disease classification for expedient visualization. Availability and implementation: CytoCom is compatible with CytoScape 3.1.0 or later version. Please visit http://www.cl.cam.ac.uk/∼mam211/ for user tutorial and download. Contact: Mohammad.Moni@cl.cam.ac.uk Oxford University Press 2015-03-15 2014-11-07 /pmc/articles/PMC4380025/ /pubmed/25380962 http://dx.doi.org/10.1093/bioinformatics/btu731 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Moni, Mohammad Ali Xu, Haoming Liò, Pietro CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks |
title | CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks |
title_full | CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks |
title_fullStr | CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks |
title_full_unstemmed | CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks |
title_short | CytoCom: a Cytoscape app to visualize, query and analyse disease comorbidity networks |
title_sort | cytocom: a cytoscape app to visualize, query and analyse disease comorbidity networks |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380025/ https://www.ncbi.nlm.nih.gov/pubmed/25380962 http://dx.doi.org/10.1093/bioinformatics/btu731 |
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