Hello,
I want to use Bayesian Network (BN) or Mutual Information (MI) based R packages to construct gene network. I have checked BNArray and CLR, but it seems they are not available on CRAN or Bioconductor, and there is no detailed tutorial to follow, so does anyone know other BN or MI based R packages with available tutorials for gene network construction?
If they are able to identify gene network modules/clusters, it would be best, since my final target is to identify gene clusters/modules.
Thanks in advance.
If you upload your normalized gene expression data (genes are in rows and samples in columns) in cytoscape, there is network option in menu to infer a regulAtory network by information theory or whatever.hereafter in cytoscape there is a plugin app named moduland by which you can infer interconnected nodes in your network as gene modules.
Thanks for your reply. The Cytoscape may work out, but I want R-based methods since I have many samples and want to write a program to automatically identify gene modules. If I use Cytoscape I have to manually input those samples, and it is not convenient in the long-term.
Minet r package infers the network just by two lines of code. But after building the network easiest way is importing network to cytoscape to use moduland app