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Applying weighted network measures to microarray distance matrices

Ahnert, Sebastian E. and Garlaschelli, Diego and Fink, Thomas M.A. and Caldarelli, Guido Applying weighted network measures to microarray distance matrices. Journal of Physics A: Mathematical and Theoretical, 41 (22). p. 224011. ISSN 1751-8113 (2008)

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In recent work we presented a new approach to the analysis of weighted networks, by providing a straightforward generalization of any network measure defined on unweighted networks. This approach is based on the translation of a weighted network into an ensemble of edges, and is particularly suited to the analysis of fully connected weighted networks. Here we apply our method to several such networks including distance matrices, and show that the clustering coefficient, constructed by using the ensemble approach, provides meaningful insights into the systems studied. In the particular case of two datasets from microarray experiments the clustering coefficient identifies a number of biologically significant genes, outperforming existing identification approaches.

Item Type: Article
Identification Number: 10.1088/1751-8113/41/22/224011
Uncontrolled Keywords: PACS: 87.16.Yc Regulatory genetic and chemical networks; 02.10.Yn Matrix theory; 87.10.-e General theory and mathematical aspects; 87.80.-y Biophysical techniques (research methods)
Subjects: Q Science > QA Mathematics
Q Science > QC Physics
Q Science > QH Natural history > QH301 Biology
Research Area: Economics and Institutional Change
Depositing User: Ms T. Iannizzi
Date Deposited: 01 Feb 2012 11:33
Last Modified: 08 Mar 2018 17:05
URI: http://eprints.imtlucca.it/id/eprint/1094

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