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Number of items: 16.

Article

Davies, Matthew N. and Gloriam, David E. and Secker, Andrew D. and Freitas, Alex A. and Timmis, Jon and Flower, Darren R. (2011) Present perspectives on the automated classification of the G-Protein Coupled Receptors (GPCRs) at the Protein Sequence Level. Current Topics in Medicinal Chemistry, 11 (15). pp. 182-196. ISSN 1568-0266. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Secker, Andrew D. and Davies, Matthew N. and Freitas, Alex A. and Clark, Edward and Timmis, Jon and Flower, Darren R. (2010) Hierarchical classification of G-Protein-Coupled Receptors with data-driven selection of attributes and classifiers. International Journal of Data Mining and Bioinformatics, 4 (2). pp. 182-196. ISSN 1748-5673. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Secker, Andrew D. and Davies, Matthew N. and Freitas, Alex A. and Timmis, Jon and Clark, Edward and Flower, Darren R. (2009) An artificial immune system for clustering amino acids in the context of protein function classification. Journal of Mathematical Modelling and Algorithms, 8 . pp. 103-123. ISSN 1570-1166. (doi:https://doi.org/10.1007/s10852-009-9107-3) (Full text available)
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Davies, Matthew N. and Secker, Andrew D. and Freitas, Alex A. and Timmis, Jon and Clark, Edward and Flower, Darren R. (2008) Alignment-independent techniques for protein classification. Current Proteomics, 5 (4). pp. 217-223. ISSN 1570-1646. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Davies, Matthew N. and Secker, Andrew D. and Freitas, Alex A. and Clark, Edward and Timmis, Jon and Flower, Darren R. (2008) Optimizing amino acid groupings for GPCR classification. Bioinformatics, 24 (18). pp. 1980-1986. ISSN 1367-4803. (doi:https://doi.org/10.1093/bioinformatics/btn382) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Davies, Matthew N. and Secker, Andrew D. and Halling-Brown, Mark and Moss, David S. and Freitas, Alex A. and Timmis, Jon and Clark, Edward and Flower, Darren R. (2008) GPCRTree: online hierarchical classification of GPCR function. BMC Research Notes, 1 (67). 5 pages. ISSN 1756-0500. (doi:https://doi.org/10.1186/1756-0500-1-67) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Secker, Andrew D. and Freitas, Alex A. and Timmis, Jon (2008) AISIID: An artificial immune system for interesting information discovery on the web. Applied Soft Computing, 8 (2). pp. 885-905. ISSN 1568-4946. (doi:https://doi.org/10.1016/j.asoc.2007.07.007) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Davies, Matthew N. and Secker, Andrew D. and Freitas, Alex A. and Mendao, Miguel and Timmis, Jon and Flower, Darren R. (2007) On the hierarchical classification of G Protein-Coupled Receptors. Bioinformatics, 23 (23). pp. 3113-3118. ISSN 1367-4803. (doi:https://doi.org/10.1093/bioinformatics/btm506) (Full text available)
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Secker, Andrew D. and Davies, Matthew N. and Freitas, Alex A. and Timmis, Jon and Mendao, Miguel and Flower, Darren R. (2007) An experimental comparison of classification algorithms for hierarchical prediction of protein function. Expert Update (Magazine of the British Computer Society's Specialist Group on AI), 9 (3). pp. 17-22. ISSN 1465-4091. (Full text available)
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Davies, Matthew N. and Gloriam, David E. and Secker, Andrew D. and Freitas, Alex A. and Mendao, Miguel and Timmis, Jon and Flower, Darren R. (2007) Proteomic applications of automated GPCR classification. Proteomics, 7 (16). pp. 2800-2814. ISSN 1615-9853. (doi:https://doi.org/10.1002/pmic.200700093) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Book section

Secker, Andrew D. and Davies, Matthew N. and Freitas, Alex A. and Timmis, Jon and Clark, Edward and Flower, Darren R. (2008) An artificial immune system for evolving amino acid clusters tailored to protein function prediction. In: Bentley, Peter J. and Lee, Doheon and Jung, Sungwon, eds. Artificial Immune Systems. Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence . Springer, pp. 242-253. ISBN 978-3-540-85071-7. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Secker, Andrew D. and Freitas, Alex A. and Timmis, Jon (2005) Towards a danger theory inspired artificial immune system for web mining. In: Scime, A., ed. Web Mining: applications and techniques. Idea Group, pp. 145-168. ISBN 1-59140-415-0. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Conference or workshop item

Secker, Andrew D. and Freitas, Alex A. (2007) WAIRS: Improving Classification Accuracy by Weighting Attributes in the AIRS Classifier. In: Proceedings of the 2007 IEEE Congress on Evolutionary Computation (CEC 2007). IEEE Congress on Evolutionary Computation. IEEE Press, Singapore pp. 3759-3765. ISBN 978-1-4244-1339-3. (doi:https://doi.org/10.1109/CEC.2007.4424960) (Full text available)
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Secker, Andrew D. and Freitas, Alex A. and Timmis, Jon (2003) AISEC: An Artificial Immune System for E-mail Classification. In: Sarker, Ruhul Amin and Reynolds, R. and Abbass, Hussein Aly and Kay-Chen, T. and McKay, R. and Essam, D. and Gedeon, T., eds. Proceedings of the Congress on Evolutionary Computation. IEEE, Canberra. Australia pp. 131-139. ISBN 0-7803-7804-0. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Secker, Andrew D. and Freitas, Alex A. and Timmis, Jon (2003) A Danger Theory Approach to Web Mining. In: Timmis, Jon and Bentley, Peter J. and Hart, Emma, eds. Proceedings of the 2nd International Conference on Artificial Immune Systems. Lecture Notes in Computer Science, 2787. Springer pp. 156-167. ISBN 3-540-40766-9. (doi:https://doi.org/10.1007/b12020) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

Thesis

Secker, Andrew D. (2006) Artificial Immune Systems for Web Content Mining: Focusing on the Discovery of Interesting Information. Doctor of Philosophy (PhD) thesis, University of Kent. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

This list was generated on Fri May 24 09:02:47 2019 BST.