Data Mining via ILP: The Application of Progol to a Database of Enantioseparations. - Christopher H. Bryant (ILP, 1997)

Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study. - Stephen H. Muggleton; Christopher H. Bryant; Ashwin Srinivasan 001 (ECML, 2000)

Learning Chomsky-like Grammars for Biological Sequence Families. - Stephen H. Muggleton; Christopher H. Bryant; Ashwin Srinivasan 001 (ICML, 2000)

Theory Completion Using Inverse Entailment. - Stephen H. Muggleton; Christopher H. Bryant (ILP, 2000)

Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes. - Christopher H. Bryant; Stephen H. Muggleton; Stephen G. Oliver; Douglas B. Kell; Philip G. K. Reiser; Ross D. King (Electron. Trans. Artif. Intell., 2001)

Developing a Logical Model of Yeast Metabolism. - Philip G. K. Reiser; Ross D. King; Douglas B. Kell; Stephen H. Muggleton; Christopher H. Bryant; Stephen G. Oliver (Electron. Trans. Artif. Intell., 2001)

Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study. - Stephen H. Muggleton; Christopher H. Bryant; Ashwin Srinivasan 001; Alex Whittaker; Simon Topp; Christopher J. Rawlings (J. Comput. Biol., 2001)

Speeding up Parsing of Biological Context-Free Grammars. - Daniel Fredouille; Christopher H. Bryant (CPM, 2005)

Pertinent Background Knowledge for Learning Protein Grammars. - Christopher H. Bryant; Daniel Fredouille; Alex Wilson; Channa K. Jayawickreme; Steven Jupe; Simon Topp (ECML, 2006)

An ILP Refinement Operator for Biological Grammar Learning. - Daniel Fredouille; Christopher H. Bryant; Channa K. Jayawickreme; Steven Jupe; Simon Topp (ILP, 2006)

A First Step towards Learning which uORFs Regulate Gene Expression. - Selpi; Christopher H. Bryant; Graham J. L. Kemp; Marija Cvijovic (J. Integr. Bioinform., 2006)

Inferring the Function of Genes from Synthetic Lethal Mutations. - Oliver Ray; Christopher H. Bryant (CISIS, 2008)

L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning. - Thierry Mamer; Christopher H. Bryant; John A. W. McCall (ILP, 2008)

Predicting functional upstream open reading frames in Saccharomyces cerevisiae. - Selpi; Christopher H. Bryant; Graham J. L. Kemp; Janeli Sarv; Erik Kristiansson; Per Sunnerhagen (BMC Bioinform., 2009)

Comparing the Performance of Object and Object Relational Database Systems on Objects of Varying Complexity. - Reza Kalantari; Christopher H. Bryant (BNCOD, 2010)

Preceding Rule Induction with Instance Reduction Methods. - Osama Othman; Christopher H. Bryant (MLDM, 2013)