Summary: The prioritization of candidate disease genes is often based on integrated datasets and their network representation with genes as nodes connected by edges for biological relationships. However, the majority of prioritization methods does not allow for a straightforward integration of the user's own input data. Therefore, we developed the Cytoscape plugin NetworkPrioritizer that particularly supports the integrative network-based prioritization of candidate disease genes or other molecules. Our versatile software tool computes a number of important centrality measures to rank nodes based on their relevance for network connectivity and provides different methods to aggregate and compare rankings.
%0 Journal Article
%1 Kacprowski2013NetworkPrioritizer
%A Kacprowski, Tim
%A Doncheva, Nadezhda T.
%A Albrecht, Mario
%D 2013
%I Oxford University Press
%J Bioinformatics
%K cytoscape plugin
%N 11
%P 1471--1473
%R 10.1093/bioinformatics/btt164
%T NetworkPrioritizer: a versatile tool for network-based prioritization of candidate disease genes or other molecules
%U http://dx.doi.org/10.1093/bioinformatics/btt164
%V 29
%X Summary: The prioritization of candidate disease genes is often based on integrated datasets and their network representation with genes as nodes connected by edges for biological relationships. However, the majority of prioritization methods does not allow for a straightforward integration of the user's own input data. Therefore, we developed the Cytoscape plugin NetworkPrioritizer that particularly supports the integrative network-based prioritization of candidate disease genes or other molecules. Our versatile software tool computes a number of important centrality measures to rank nodes based on their relevance for network connectivity and provides different methods to aggregate and compare rankings.
@article{Kacprowski2013NetworkPrioritizer,
abstract = {Summary: The prioritization of candidate disease genes is often based on integrated datasets and their network representation with genes as nodes connected by edges for biological relationships. However, the majority of prioritization methods does not allow for a straightforward integration of the user's own input data. Therefore, we developed the Cytoscape plugin {NetworkPrioritizer} that particularly supports the integrative network-based prioritization of candidate disease genes or other molecules. Our versatile software tool computes a number of important centrality measures to rank nodes based on their relevance for network connectivity and provides different methods to aggregate and compare rankings.},
added-at = {2018-12-02T16:09:07.000+0100},
author = {Kacprowski, Tim and Doncheva, Nadezhda T. and Albrecht, Mario},
biburl = {https://www.bibsonomy.org/bibtex/2020548a9dfbf302bc2a38be267234108/karthikraman},
citeulike-article-id = {12285641},
citeulike-linkout-0 = {http://dx.doi.org/10.1093/bioinformatics/btt164},
citeulike-linkout-1 = {http://bioinformatics.oxfordjournals.org/content/early/2013/05/03/bioinformatics.btt164.abstract},
citeulike-linkout-2 = {http://bioinformatics.oxfordjournals.org/content/early/2013/05/03/bioinformatics.btt164.full.pdf},
citeulike-linkout-3 = {http://bioinformatics.oxfordjournals.org/cgi/content/abstract/29/11/1471},
citeulike-linkout-4 = {http://view.ncbi.nlm.nih.gov/pubmed/23595661},
citeulike-linkout-5 = {http://www.hubmed.org/display.cgi?uids=23595661},
day = 01,
doi = {10.1093/bioinformatics/btt164},
interhash = {550c99501c45ff1421921e6eb939de23},
intrahash = {020548a9dfbf302bc2a38be267234108},
issn = {1460-2059},
journal = {Bioinformatics},
keywords = {cytoscape plugin},
month = jun,
number = 11,
pages = {1471--1473},
pmid = {23595661},
posted-at = {2013-06-13 10:41:19},
priority = {2},
publisher = {Oxford University Press},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {{NetworkPrioritizer}: a versatile tool for network-based prioritization of candidate disease genes or other molecules},
url = {http://dx.doi.org/10.1093/bioinformatics/btt164},
volume = 29,
year = 2013
}