| Knowledge discovery in multi-label phenotype data A Clare, RD King European conference on principles of data mining and knowledge discovery, 42-53, 2001 | 1092 | 2001 |
| The automation of science RD King, J Rowland, SG Oliver, M Young, W Aubrey, E Byrne, M Liakata, ... Science 324 (5923), 85-89, 2009 | 828 | 2009 |
| Measuring scientific impact beyond academia: An assessment of existing impact metrics and proposed improvements J Ravenscroft, M Liakata, A Clare, D Duma PloS one 12 (3), e0173152, 2017 | 225 | 2017 |
| Towards robot scientists for autonomous scientific discovery A Sparkes, W Aubrey, E Byrne, A Clare, MN Khan, M Liakata, M Markham, ... Automated experimentation 2, 1-11, 2010 | 209 | 2010 |
| Decision trees for hierarchical multilabel classification: A case study in functional genomics H Blockeel, L Schietgat, J Struyf, S Džeroski, A Clare Knowledge Discovery in Databases: PKDD 2006: 10th European Conference on …, 2006 | 196 | 2006 |
| Predicting gene function in Saccharomyces cerevisiae A Clare, RD King Bioinformatics-Oxford 19 (2), 42-49, 2003 | 188 | 2003 |
| Machine learning and data mining for yeast functional genomics A Clare University of Wales, Aberystwyth, 2003 | 131 | 2003 |
| The utility of different representations of protein sequence for predicting functional class RD King, A Karwath, A Clare, L Dehaspe Bioinformatics 17 (5), 445-454, 2001 | 112 | 2001 |
| An ontology for a Robot Scientist LN Soldatova, A Clare, A Sparkes, RD King Bioinformatics 22 (14), e464-e471, 2006 | 103 | 2006 |
| Machine learning of functional class from phenotype data A Clare, RD King Bioinformatics 18 (1), 160-166, 2002 | 95 | 2002 |
| Accurate prediction of protein functional class from sequence in the Mycobacterium tuberculosis and Escherichia coli genomes using data mining RD King, A Karwath, A Clare, L Dehaspe Yeast 17 (4), 283-293, 2000 | 94 | 2000 |
| Hierarchical multi-classification with predictive clustering trees in functional genomics J Struyf, S Džeroski, H Blockeel, A Clare Portuguese Conference on Artificial Intelligence, 272-283, 2005 | 72 | 2005 |
| The robot scientist Adam RD King, J Rowland, W Aubrey, M Liakata, M Markham, LN Soldatova, ... Computer 42 (8), 46-54, 2009 | 70 | 2009 |
| The EXACT description of biomedical protocols LN Soldatova, W Aubrey, RD King, A Clare Bioinformatics 24 (13), i295-i303, 2008 | 70 | 2008 |
| Genome scale prediction of protein functional class from sequence using data mining RD King, A Karwath, A Clare, L Dephaspe Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000 | 63 | 2000 |
| Functional bioinformatics for Arabidopsis thaliana A Clare, A Karwath, H Ougham, RD King Bioinformatics 22 (9), 1130-1136, 2006 | 59 | 2006 |
| How well do we understand the clusters found in microarray data? A Clare, RD King In Silico Biology 2 (4), 511-522, 2002 | 51 | 2002 |
| No one tool to rule them all: prokaryotic gene prediction tool annotations are highly dependent on the organism of study NJ Dimonaco, W Aubrey, K Kenobi, A Clare, CJ Creevey Bioinformatics 38 (5), 1198-1207, 2022 | 46 | 2022 |
| Replicating complex agent based models, a formidable task E Donkin, P Dennis, A Ustalakov, J Warren, A Clare Environmental Modelling & Software 92, 142-151, 2017 | 45 | 2017 |
| Confirmation of data mining based predictions of protein function RD King, PH Wise, A Clare Bioinformatics 20 (7), 1110-1118, 2004 | 40 | 2004 |
Wayne AubreyAberystwyth Universityכתובת אימייל מאומתת בדומיין aber.ac.uk