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.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.