Netmes: Assessing gene network inference algorithms by network-based measures
Research output: Contribution to journal › Article › Scientific › peer-review
|Publication status||Published - 7 Dec 2013|
|Publication type||A1 Journal article-refereed|
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 web site https://r-forge.r-project.org/projects/netmes/.