- Generation of gene function hypotheses using a logic-based machine learning approach applied to the Campylobacter jejuni glycome (in preparation)
- The identification of similarities between biological networks: application to the metabolome and interactome
Cootes AP, Muggleton SH, Sternberg MJ.
J Mol Biol. 2007 Jun 15;369(4):1126-39. Epub 2007 Mar 14.
- Modeling the effects of toxins in metabolic networks
Tamaddoni-Nezhad A, Chaleil R, Kakas AC, Sternberg M, Nicholson J, Muggleton S.
IEEE Eng Med Biol Mag. 2007 Mar-Apr;26(2):37-46.
- QG/GA: a stochastic search for Progol
Muggleton SH, Tamaddoni-Nezhad A.
Machine Learning, 70(2-3):123-133, 2007.
- The lattice structure and refinement operators for the hypothesis space bounded by a bottom clause
Muggleton SH, Tamaddoni-Nezhad A.
Machine Learning, 76(1):37-72, 2009.
- Systems analysis of bacterial glycomes
Kay E, Lesk VI, Tamaddoni-Nezhad A, Hitchen PG, Dell A, Sternberg MJ, Muggleton S, Wren BW.
Biochem Soc Trans. 2010 Oct;38(5):1290-3.
- ProGolem: A System Based on Relative Minimal Generalisation
Muggleton SH, Santos J, Tamaddoni-Nezhad A.
In Proceedings of the 19th International Conference on Inductive Logic Programming, LNCS 5989, pages 131-148. Springer-Verlag, 2010.
- TopLog: ILP Using a Logic Program Declarative Bias
Muggleton SH, Santos J, Tamaddoni-Nezhad A.
In Proceedings of the International Conference on Logic Programming 2008, LNCS 5366, pages 687-692. Springer-Verlag, 2010.
- WIBL: Workbench for Integrative Biological Learning
Lesk V, Taubert J, Rawlings C, Dunbar S, Muggleton S.
J Integr Bioinform. 2011 Jun 27;8(2):156. doi: 10.2390/biecoll-jib-2011-156.