HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery

Summary: Correlating disease mutations with clinical and phenotypic information such as drug response or patient survival is an important goal of personalized cancer genomics and a first step in biomarker discovery. HyperModules is a network search algorithm that finds frequently mutated gene module...

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Autores principales: Leung, Alvin, Bader, Gary D., Reimand, Jüri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103591/
https://www.ncbi.nlm.nih.gov/pubmed/24713437
http://dx.doi.org/10.1093/bioinformatics/btu172
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author Leung, Alvin
Bader, Gary D.
Reimand, Jüri
author_facet Leung, Alvin
Bader, Gary D.
Reimand, Jüri
author_sort Leung, Alvin
collection PubMed
description Summary: Correlating disease mutations with clinical and phenotypic information such as drug response or patient survival is an important goal of personalized cancer genomics and a first step in biomarker discovery. HyperModules is a network search algorithm that finds frequently mutated gene modules with significant clinical or phenotypic signatures from biomolecular interaction networks. Availability and implementation: HyperModules is available in Cytoscape App Store and as a command line tool at www.baderlab.org/Sofware/HyperModules. Contact: Juri.Reimand@utoronto.ca or Gary.Bader@utoronto.ca Supplementary information: Supplementary data are available at Bioinformatics online
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spelling pubmed-41035912014-07-18 HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery Leung, Alvin Bader, Gary D. Reimand, Jüri Bioinformatics Applications Notes Summary: Correlating disease mutations with clinical and phenotypic information such as drug response or patient survival is an important goal of personalized cancer genomics and a first step in biomarker discovery. HyperModules is a network search algorithm that finds frequently mutated gene modules with significant clinical or phenotypic signatures from biomolecular interaction networks. Availability and implementation: HyperModules is available in Cytoscape App Store and as a command line tool at www.baderlab.org/Sofware/HyperModules. Contact: Juri.Reimand@utoronto.ca or Gary.Bader@utoronto.ca Supplementary information: Supplementary data are available at Bioinformatics online Oxford University Press 2014-08-01 2014-04-08 /pmc/articles/PMC4103591/ /pubmed/24713437 http://dx.doi.org/10.1093/bioinformatics/btu172 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Leung, Alvin
Bader, Gary D.
Reimand, Jüri
HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
title HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
title_full HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
title_fullStr HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
title_full_unstemmed HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
title_short HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
title_sort hypermodules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4103591/
https://www.ncbi.nlm.nih.gov/pubmed/24713437
http://dx.doi.org/10.1093/bioinformatics/btu172
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