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ORCIDChristopher H. Bryant
Person information
- affiliation: University of Salford, School of Computing, Scienc and Engineering, UK
- affiliation (2001 - 2008): Robert Gordon University, School of Computing, Aberdeen, UK
- affiliation (1997 - 2001): University of York, Department of Computer Science, UK
- affiliation (1996 - 1997): University of Huddersfield, School of Computing and Mathematics, UK
- affiliation (PhD 1996): University of Manchester, Institute of Science and Technology, UK
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Journal Articles
- 2009
[j5]Selpi
, Christopher H. Bryant, Graham J. L. Kemp, Janeli Sarv, Erik Kristiansson, Per Sunnerhagen:
Predicting functional upstream open reading frames in Saccharomyces cerevisiae. BMC Bioinform. 10: 451 (2009)- 2006
- [j4]Selpi, Christopher H. Bryant, Graham J. L. Kemp, Marija Cvijovic:
A First Step towards Learning which uORFs Regulate Gene Expression. J. Integr. Bioinform. 3(2) (2006) - 2001
- [j3]Christopher H. Bryant, Stephen H. Muggleton, Stephen G. Oliver, Douglas B. Kell, Philip G. K. Reiser, Ross D. King:
Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes. Electron. Trans. Artif. Intell. 5(B): 1-36 (2001) - [j2]Philip G. K. Reiser, Ross D. King, Douglas B. Kell, Stephen H. Muggleton, Christopher H. Bryant, Stephen G. Oliver:
Developing a Logical Model of Yeast Metabolism. Electron. Trans. Artif. Intell. 5(B): 223-244 (2001) - [j1]Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan, Alex Whittaker, Simon Topp, Christopher J. Rawlings:
Are Grammatical Representations Useful for Learning from Biological Sequence Data? - A Case Study. J. Comput. Biol. 8(5): 493-521 (2001)
Conference and Workshop Papers
- 2013
- [c11]Osama Othman, Christopher H. Bryant:
Preceding Rule Induction with Instance Reduction Methods. MLDM 2013: 209-218 - 2010
- [c10]Reza Kalantari, Christopher H. Bryant:
Comparing the Performance of Object and Object Relational Database Systems on Objects of Varying Complexity. BNCOD 2010: 72-83 - 2008
- [c9]Oliver Ray, Christopher H. Bryant:
Inferring the Function of Genes from Synthetic Lethal Mutations. CISIS 2008: 667-671 - [c8]Thierry Mamer, Christopher H. Bryant, John A. W. McCall:
L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning. ILP 2008: 176-191 - 2006
- [c7]Christopher H. Bryant, Daniel Fredouille, Alex Wilson, Channa K. Jayawickreme, Steven Jupe, Simon Topp:
Pertinent Background Knowledge for Learning Protein Grammars. ECML 2006: 54-65 - [c6]Daniel Fredouille, Christopher H. Bryant, Channa K. Jayawickreme, Steven Jupe, Simon Topp:
An ILP Refinement Operator for Biological Grammar Learning. ILP 2006: 214-228 - 2005
- [c5]Daniel Fredouille, Christopher H. Bryant:
Speeding up Parsing of Biological Context-Free Grammars. CPM 2005: 241-256 - 2000
- [c4]Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan:
Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study. ECML 2000: 300-312 - [c3]Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan:
Learning Chomsky-like Grammars for Biological Sequence Families. ICML 2000: 631-638 - [c2]Stephen H. Muggleton, Christopher H. Bryant:
Theory Completion Using Inverse Entailment. ILP 2000: 130-146 - 1997
- [c1]Christopher H. Bryant:
Data Mining via ILP: The Application of Progol to a Database of Enantioseparations. ILP 1997: 85-92
Coauthor Index
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