Published today in Evolutionary Bioinformatics is a new original research article by Gökmen Altay, Zeyneb Kurt, Matthias Dehmer and Frank Emmert-Streib.  Read more about this paper below:

Title

Netmes: Assessing Gene Network Inference Algorithms by Network-Based Measures

Abstract

Gene regulatory network inference (GRNI) algorithms are essential for efficiently utilizing large-scale microarray datasets to elucidate biochemical interactions among molecules in a cell. Recently, the combination of network-based error measures complemented with an ensemble approach became popular for assessing the inference performance of the GRNI algorithms. For this reason, we developed a software package to facilitate the usage of such metrics. In this paper, we present netmes, an R software package that allows the assessment of GRNI algorithms. The software package netmes is available from the R-Forge website https://r-forge.r-project.org/projects/netmes/.

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