PredictPA is a Bayesian network model that integrates genomic, transcriptomic and proteomic data to predict protein abundance. Specifically, by using expression, sequence and interaction data, we effectively link transcriptional information with post-transcriptional and protein translational data.
Bioinformatics group, The University of Queensland
:: MORE INFORMATION
Ahmed M. Mehdi, Ralph Patrick, Timothy L. Bailey and Mikael Boden (2014),
” Predicting the Dynamics of Protein Abundance“,
Molecular and Cellular Proteomics. 13(5): 1330-1340.