eprintid: 1094
rev_number: 9
eprint_status: archive
userid: 6
dir: disk0/00/00/10/94
datestamp: 2012-02-01 11:33:12
lastmod: 2018-03-08 17:05:45
status_changed: 2012-02-01 11:33:12
type: article
metadata_visibility: show
creators_name: Ahnert, Sebastian E.
creators_name: Garlaschelli, Diego
creators_name: Fink, Thomas M.A.
creators_name: Caldarelli, Guido
creators_id: 
creators_id: diego.garlaschelli@imtlucca.it
creators_id: 
creators_id: guido.caldarelli@imtlucca.it
title: Applying weighted network measures to microarray distance matrices
ispublished: pub
subjects: QA
subjects: QC
subjects: QH301
divisions: EIC
full_text_status: none
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)

abstract: 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.
date: 2008-06
publication: Journal of Physics A: Mathematical and Theoretical
volume: 41
number: 22
publisher: Institute of Physics
pagerange: 224011
id_number: 10.1088/1751-8113/41/22/224011
refereed: TRUE
issn: 1751-8113
official_url: http://dx.doi.org/10.1088/1751-8113/41/22/224011
citation:   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)