Identification of functional modules that correlate with phenotypic difference: the influence of network topology

One of the important challenges to post-genomic biology is relating observed phenotypic alterations to the underlying collective alterations in genes. Current inferential methods, however, invariably omit large bodies of information on the relationships between genes. We present a method that takes...

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Autores principales: Hung, Jui-Hung, Whitfield, Troy W, Yang, Tun-Hsiang, Hu, Zhenjun, Weng, Zhiping, DeLisi, Charles
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872883/
https://www.ncbi.nlm.nih.gov/pubmed/20187943
http://dx.doi.org/10.1186/gb-2010-11-2-r23
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author Hung, Jui-Hung
Whitfield, Troy W
Yang, Tun-Hsiang
Hu, Zhenjun
Weng, Zhiping
DeLisi, Charles
author_facet Hung, Jui-Hung
Whitfield, Troy W
Yang, Tun-Hsiang
Hu, Zhenjun
Weng, Zhiping
DeLisi, Charles
author_sort Hung, Jui-Hung
collection PubMed
description One of the important challenges to post-genomic biology is relating observed phenotypic alterations to the underlying collective alterations in genes. Current inferential methods, however, invariably omit large bodies of information on the relationships between genes. We present a method that takes account of such information - expressed in terms of the topology of a correlation network - and we apply the method in the context of current procedures for gene set enrichment analysis.
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spelling pubmed-28728832010-05-20 Identification of functional modules that correlate with phenotypic difference: the influence of network topology Hung, Jui-Hung Whitfield, Troy W Yang, Tun-Hsiang Hu, Zhenjun Weng, Zhiping DeLisi, Charles Genome Biol Method One of the important challenges to post-genomic biology is relating observed phenotypic alterations to the underlying collective alterations in genes. Current inferential methods, however, invariably omit large bodies of information on the relationships between genes. We present a method that takes account of such information - expressed in terms of the topology of a correlation network - and we apply the method in the context of current procedures for gene set enrichment analysis. BioMed Central 2010 2010-02-26 /pmc/articles/PMC2872883/ /pubmed/20187943 http://dx.doi.org/10.1186/gb-2010-11-2-r23 Text en Copyright ©2010 Hung et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Method
Hung, Jui-Hung
Whitfield, Troy W
Yang, Tun-Hsiang
Hu, Zhenjun
Weng, Zhiping
DeLisi, Charles
Identification of functional modules that correlate with phenotypic difference: the influence of network topology
title Identification of functional modules that correlate with phenotypic difference: the influence of network topology
title_full Identification of functional modules that correlate with phenotypic difference: the influence of network topology
title_fullStr Identification of functional modules that correlate with phenotypic difference: the influence of network topology
title_full_unstemmed Identification of functional modules that correlate with phenotypic difference: the influence of network topology
title_short Identification of functional modules that correlate with phenotypic difference: the influence of network topology
title_sort identification of functional modules that correlate with phenotypic difference: the influence of network topology
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2872883/
https://www.ncbi.nlm.nih.gov/pubmed/20187943
http://dx.doi.org/10.1186/gb-2010-11-2-r23
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