Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Background: Mixture model on graphs (MMG) is a probabilistic model that integrates network topology with (gene, protein) expression data to predict the regulation state of genes and proteins. It is remarkably robust to missing data, a feature particularly important for its use in quantitative proteomics. A new implementation in C and interfaced with R makes MMG extremely fast and easy to use and to extend.#R##N##R##N#Availability: The original implementation (Matlab) is still available from http://www.dcs.shef.ac.uk/~guido/; the new implementation is available from http://wrightlab.group.shef.ac.uk/people_noirel.htm, from CRAN, and has been submitted to BioConductor, http://www.bioconductor.org/.#R##N##R##N#Contact: j.noirel@sheffield.ac.uk
['Josselin Noirel', 'Guido Sanguinetti', 'Phillip C. Wright']
I am writing a research paper on a idea Identifying differentially expressed subnetworks with MMG
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