Lemone

LeMoNe is a software package for Learning Module Networks from gene expression data. The algorithm has been described and validated in the following papers:


  1. * Michoel, T., * Maere, S., Bonnet, E., Joshi, A., Saeys, Y., Van den Bulcke, T., Van Leemput, K., van Remortel, P., Kuiper, M., Marchal, K., Van de Peer, Y. (2007) Validating module networks learning algorithms using simulated data. BMC Bioinformatics 8, S5. *contributed equally
  2. Joshi, A., Van de Peer, Y., Michoel, T. (2008) Analysis of a Gibbs sampler method for model based clustering of gene expression data. Bioinformatics 24, 176-83.
  3. Joshi, A., De Smet, R., Marchal, K., Van de Peer, Y., Michoel, T. (2009) Module networks revisited: computational assessment of model predictions. Bioinformatics 25, 490-6.
  4. Michoel, T., De Smet, R., Joshi, A., Van de Peer, Y., Marchal, K. (2009) Comparative analysis of module-based versus direct methods for reverse-engineering transcriptional regulatory networks. BMC Systems Biology 3, 49.

LeMoNe is freely available for academic use. We ask that you register here before downloading the software.









Contact:
VIB / UGent
Bioinformatics & Systems Biology
Technologiepark 927
B-9052 Gent
BELGIUM
+32 (0) 9 33 13807 (phone)
+32 (0) 9 33 13809 (fax)

Don't hesitate to contact the in case of problems with the website!