PROPA: Probabilistic Pathway Annotation
- Bayesian Models and Analysis -

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Description: This software implements the MCMC and Monte Carlo variational methods to fit, analyse, summarise and use the Bayesian models for Probabilistic Pathway Annotation in genomics, detailed in
  • Bayesian modelling for biological pathway annotation of gene expression pathway signatures, by Haige Shen and Mike West, in Frontiers of Statistical Decision Making and Bayesian Analysis, M-H. Chen, D.K. Dey, P. Mueller, D. Sun and K. Ye, (Eds.), p285-302, Springer, 2010.
  • A longer, more detailed version with additional examples is available in an original technical report .

This software is made freely available to any interested user. The authors can provide no support nor assistance with implementations beyond the details and examples here, nor extensions of the code for other purposes. It is understood by the user that neither the authors nor Duke University bear any responsibility nor assume any liability for any end-use of this software. It is expected that appropriate credit/acknowledgment be given should the software be included as an element in other software development or in publications.

PROPA developed by: Haige Shen, Quanli Wang & Mike West

More software from the West group