When you want to get to know and love your data

Excel + Cytoscape + R = ExCytR

My new project is coming along nicely and should be released early 2013. It builds on the structures developed in imDEV to link Excel, Cytoscape and R using RExcel,  RCytoscape, and CytoscapeRPC . This trio can be used to rapidly generate beautiful and  informative network representations of data.

Here is an example of a  undirected Gaussian graphical Markov metabolic network  calculated from time course metabolomic measurements generated by gas chromatography time-of-flight mass spectrometry (GC/TOF).

Nodes represent metabolomic variables whose characteristics encode chemometric data and the results of statistical analyses and multivariate modeling. Ggplot2 is used to generate graphs of the time course data representing the means and standard error of metaboloite concentrations in two study populations. The connections between nodes or edges are calculated from q-order partial correlations using the R package qpgraph.

Node graph gauss markov network

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s