Christopher H. Bryant

	2010
14		Reza Kalantari, Christopher H. Bryant: Comparing the Performance of Object and Object Relational Database Systems on Objects of Varying Complexity. BNCOD 2010: 72-83
	2009
13		Selpi, Christopher H. Bryant, Graham J. L. Kemp, Janeli Sarv, Erik Kristiansson, Per Sunnerhagen: Predicting functional upstream open reading frames in Saccharomyces cerevisiae. BMC Bioinformatics 10: 451 (2009)
	2008
12		Oliver Ray, Christopher H. Bryant: Inferring the Function of Genes from Synthetic Lethal Mutations. CISIS 2008: 667-671
11		Thierry Mamer, Christopher H. Bryant, John McCall: L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning. ILP 2008: 176-191
	2006
10		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
9		Daniel Fredouille, Christopher H. Bryant, Channa K. Jayawickreme, Steven Jupe, Simon Topp: An ILP Refinement Operator for Biological Grammar Learning. ILP 2006: 214-228
8		Selpi, Christopher H. Bryant, Graham J. L. Kemp, Marija Cvijovic: A First Step towards Learning which uORFs Regulate Gene Expression. J. Integrative Bioinformatics 3(2): (2006)
	2005
7		Daniel Fredouille, Christopher H. Bryant: Speeding up Parsing of Biological Context-Free Grammars. CPM 2005: 241-256
	2001
6		Christopher H. Bryant, Stephen 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)
5		Philip G. K. Reiser, Ross D. King, Douglas B. Kell, Stephen Muggleton, Christopher H. Bryant, Stephen G. Oliver: Developing a Logical Model of Yeast Metabolism. Electron. Trans. Artif. Intell. 5(B): 223-244 (2001)
4		Stephen 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. Journal of Computational Biology 8(5): 493-521 (2001)
	2000
3		Stephen 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
2		Stephen Muggleton, Christopher H. Bryant, Ashwin Srinivasan: Learning Chomsky-like Grammars for Biological Sequence Families. ICML 2000: 631-638
1		Stephen Muggleton, Christopher H. Bryant: Theory Completion Using Inverse Entailment. ILP 2000: 130-146

Coauthor Index

1	Marija Cvijovic	[8]
2	Daniel Fredouille	[7] [9] [10]
3	Channa K. Jayawickreme	[9] [10]
4	Steven Jupe	[9] [10]
5	Reza Kalantari	[14]
6	Douglas B. Kell	[5] [6]
7	Graham J. L. Kemp	[8] [13]
8	Ross D. King	[5] [6]
9	Erik Kristiansson	[13]
10	Thierry Mamer	[11]
11	John McCall	[11]
12	Stephen Muggleton	[1] [2] [3] [4] [5] [6]
13	Stephen G. Oliver	[5] [6]
14	Christopher J. Rawlings	[4]
15	Oliver Ray	[12]
16	Philip G. K. Reiser	[5] [6]
17	Janeli Sarv	[13]
18	Selpi	[8] [13]
19	Ashwin Srinivasan	[2] [3] [4]
20	Per Sunnerhagen	[13]
21	Simon Topp	[4] [9] [10]
22	Alex Whittaker	[4]
23	Alex Wilson	[10]

Colors in the list of coauthors

Last update Sun May 27 04:04:01 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page