Applying weighted network measures to microarray distance matrices

Details Applying weighted network measures to microarray distance matrices Applying weighted network measures to microarray distance matrices

2008-03-10

arxiv.org/abs/0803.1459v1

J. Phys. A: Math. Theor. 41, 224011 (2008)

Physics

Data Analysis, Statistics and Probability

Accepted for publication in J. Phys. A

Scientific paper

10.1088/1751-8113/41/22/224011

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 data sets from microarray experiments the clustering coefficient identifies a number of biologically significant genes, outperforming existing identification approaches.

Affiliated with

Also associated with

No associations

Rating

Applying weighted network measures to microarray distance matrices does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Applying weighted network measures to microarray distance matrices, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Applying weighted network measures to microarray distance matrices will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-379244