Muggleton, Stephen H. - Department of Computing, Imperial College, London

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Muggleton, Stephen H. - Department of Computing, Imperial College, London

Mach Learn (2008) 70: 121133 DOI 10.1007/s10994-007-5029-3
Mach Learn (2008) 73: 323 DOI 10.1007/s10994-008-5079-1
Mach Learn (2008) 73: 5585 DOI 10.1007/s10994-008-5076-4
Structure Activity Relationships (SAR) and Pharmacophore Discovery Using Inductive Logic Programming (ILP)
proteinsSTRUCTURE O FUNCTION O BIOINFORMATICS A general approach for developing
Multi-Class Protein Fold Recognition using Large Margin Logic based Divide and Conquer Learning
Mach Learn (2009) 76: 3772 DOI 10.1007/s10994-009-5117-7
Integrative Top-Down System Metabolic Modeling in Experimental Disease States via Data-Driven Bayesian Methods
Scaffold Hopping in Drug Discovery Using Inductive Logic Programming Kazuhisa Tsunoyama,,
A Novel Logic-Based Approach for Quantitative Toxicology Prediction Ata Amini, Stephen H. Muggleton, Huma Lodhi, and Michael J. E. Sternberg*,
Support vector inductive logic programming outperforms the naive Bayes classifier and inductive logic programming
The Identification of Similarities between Biological Networks: Application to the
Mach Learn (2006) 64:209230 DOI 10.1007/s10994-006-8988-x
JOURNAL OF COMPUTATIONAL BIOLOGY Volume 8, Number 5, 2001
Protein Engineering vol.5 no.7 pp.647-657, 1992 Protein secondary structure prediction using logic-based machine
Title: The automatic discovery of structural principles describing protein fold space
smallest mean squared error. This estimate is a weighted sum of the mean of the prior and the sensed feedback position
IEEE ENGINEERING IN MEDICINE AND BIOLOGY MAGAZINE MARCH/APRIL 2007 37 MACHINELEARNINGINTHELIFESCIENCES
DOI 10.1007/s10994-011-5259-2 ILP turns 20