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iDINGO is a pathway-based method for estimating group-specific conditional dependencies and inferring differential networks between groups, based on genomic data. This can be done in a single-platform framework (for example, RNA-Seq data) or an integrative multi-platform framework (microRNA -> RNA -> Proteomics, where data from all three platforms are available for every sample).
We recommend filtering genomic data to fewer than 300 genes,
generally filtered using a pathway/pathways of interest. Single-platform
analyses are run using dingo with an nxp matrix, where n is
the number of samples. Multi-platform analyses are run using
idingo, with up to 3 separate data matrices containing the
same n samples. For both dingo and idingo, the
number of bootstraps is specified by B (we recommend at
least 100). Parallel computing can speed this step up significantly, by
setting the number of cores. Finally, the
plotNetwork function plots the differential network
identified by dingo or idingo, based on a
user-specified p-value or differential score threshold.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.