Netmes: Assessing gene network inference algorithms by network-based measures
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Yksityiskohdat
| Alkuperäiskieli | Englanti |
|---|---|
| Julkaisu | Evolutionary Bioinformatics |
| Vuosikerta | 10 |
| DOI - pysyväislinkit | |
| Tila | Julkaistu - 7 joulukuuta 2013 |
| OKM-julkaisutyyppi | A1 Alkuperäisartikkeli |
Tiivistelmä
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/.