Description Details Index Author(s) References
RTNduals is a tool that searches for possible co-regulatory loops between regulon pairs generated by the RTN package. It compares the shared targets in order to infer 'dual regulons', a new concept that tests whether regulators can co-operate or compete in influencing targets.
| Package: | RTNduals |
| Type: | Package |
| Depends: | R (>= 3.5.0), methods, RTN |
| Imports: | grDevices, stats, utils |
| Suggests: | knitr, rmarkdown, BiocStyle, RUnit, BiocGenerics |
| License: | Artistic-2.0 |
| biocViews: | NetworkInference, NetworkEnrichment, GeneRegulation, GeneExpression, GraphAndNetwork |
| MBR-class: | an S4 class for co-regulation analysis and inference of 'dual regulons'. |
| mbrAssociation: | motifs analysis and inference of "dual regulons". |
| mbrPriorEvidenceTable: | adds external evidences to "dual regulons". |
| mbrPlotDuals: | plot shared targets between regulons. |
| mbrPlotInteraction: | plots interaction effects between continuous variables. |
| tni2mbrPreprocess: | a preprocessing function for objects of class MBR. |
| mbrGet: | get information from individual slots in MBR object. |
Further information is available in the vignettes by typing
vignette("RTNduals"). Documented topics are also available in HTML by typing help.start() and
selecting the RTNduals package from the menu.
Vinicius S. Chagas, Clarice S. Groeneveld, Kerstin B Meyer, Gordon Robertson, Mauro A. A. Castro
Fletcher M.N.C. et al., Master regulators of FGFR2 signalling and breast cancer risk. Nature Communications, 4:2464, 2013.
Castro M.A.A. et al., Regulators of genetic risk of breast cancer identified by integrative network analysis. Nature Genetics, 48:12-21, 2016.
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