10.1371/journal.pone.0169661.g002 Alexander Karsakov Alexander Karsakov Thomas Bartlett Thomas Bartlett Artem Ryblov Artem Ryblov Iosif Meyerov Iosif Meyerov Mikhail Ivanchenko Mikhail Ivanchenko Alexey Zaikin Alexey Zaikin Determining the edge weight between ZFP106 and TRIM9 genes. Public Library of Science 2017 classification 15295 gene methylation levels Parenclitic Network Analysis control group subjects DNA methylation data 12 network topology indices power-law node degree distribution parenclictic networks 2017-01-20 17:33:03 Figure https://plos.figshare.com/articles/figure/Determining_the_edge_weight_between_ZFP106_and_TRIM9_genes_/4574272 <p>Each point corresponds to gene methylation levels in the control group (green), other BRCA-negative (blue) and BRCA-positive (red) subjects. The solid line shows the linear regression <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0169661#pone.0169661.e001" target="_blank">model (1)</a>. While the data sets for healthy and tumour samples are quite distinct, the mismatch <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0169661#pone.0169661.e002" target="_blank">Eq (2)</a> is of the same order of magnitude for both classes. Employing the Mahalanobis distance <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0169661#pone.0169661.e003" target="_blank">Eq (3)</a> overcomes this problem.</p>