Dr Chris Needham

RCUK Research Fellow

 

Publications

Bradford, JR; Needham, CJ; Tedder, P; Care, MA; Bulpitt, AJ; Westhead, DR GO-At: In silico prediction of gene function in Arabidopsis thaliana by combining heterogeneous data.. Plant Journal, vol. 61, pp.713-721. 2010.LINK
DOI
Harris, AT; Lungari, A; Needham, CJ; Smith, SL; Lones, MA; Fisher, SE; Yang, XB; Cooper, N; Kirkham, J; Smith, DA; Martin-Hirsch, DP; High, AS Potential for Raman spectroscopy to provide cancer screening using a peripheral blood sample. Head & Neck Oncology, vol. 1:34, 2009.DOI
Tedder, PMR; Bradford, JR; Needham, CJ; McConkey, GA; Bulpitt, AJ; Westhead, DR Bayesian data integration and enrichment analysis for predicting gene function in malaria. in: Ambos-Spies, K; Löwe, B; Merkle, W (editors) Computability in Europe, CiE 2009, pp.457-466. Springer-Verlag. 2009.
Care, MA; Bradford, JR; Needham, CJ; Bulpitt, AJ; Westhead, DR Combining the interactome and deleterious SNP predictions to improve disease gene identification. Human Mutation, vol. 30(3), pp.485-492. 2009.DOI
Needham, CJ; Manfield, IW; Bulpitt, AJ; Gilmartin, PM; Westhead, DR From gene expression to gene regulatory networks in Arabidopsis thaliana. BMC Systems Biology, vol. 3:85, 2009.DOI
Han, J-DJ; Needham, CJ Statistical Analysis of Biomolecular Networks in: JY Chen & S Lonardi (ed.) Biological Data Mining, pp.429-446. Chapman and Hall. 2009.
Everingham, M; Needham, CJ; Fraile, R (ed.) Proceedings of the 19th British Machine Vision Conference. BMVA Press. ISBN: 978-1-901725-36-0, 2008.LINK
Santos, P; Needham, C; Magee, D Inductive learning spatial attention. Sistemas Inteligente, vol. 19, 2008.DOI
Westhead, DR; Manfield, IW; Needham, CJ Bioinformatic approaches to biological systems in: C Grierson and A Hetherington (ed.) Practical Systems Biology, pp.1-16. Taylor and Francis. 2008.
Care, MA; Needham, CJ; Bulpitt, AJ; Westhead, DR Deleterious SNP prediction: be mindful of your training data!. Bioinformatics, vol. 23, pp.664-672. 2007.DOI
Needham, CJ; Bradford, JR; Bulpitt, AJ; Westhead, DR A primer on learning in Bayesian networks for Computational Biology. PLoS Computational Biology, vol. 3:e129, pp.1409-1416. 2007.LINK
Bradford, JR; Needham, CJ; Bulpitt, AJ; Westhead, DR Insights into Protein–Protein Interfaces using a Bayesian Network Prediction Method. Journal of Molecular Biology, vol. 362, pp.365-386. 2006.DOI
Bradford, JR; Needham, CJ; Bulpitt, AJ; Westhead, DR Insights into protein-protein interfaces using a Bayesian network prediction method in: Barber, S, Baxter, P D, Mardia, K V & Walls, R E (editors) Interdisciplinary Statistics and Bioinformatics, pp.112. University of Leeds. 2006.
Cohn, AG; Hogg, DC; Bennett, B; Devin, VE; Galata, A; Magee, DR; Needham, CJ; Santos, PE Cognitive vision: integrating symbolic qualitative representations with computer vision in: Christensen, H I & Nagel, H-H (editors) Cognitive Vision Systems: Sampling the Spectrum of Approaches, pp.221-246. Springer-Verlag. 2006.
Needham, CJ; Bradford, JR; Bulpitt, AJ; Care, MA; Westhead, DR Predicting the effect of missense mutations on protein function: analysis with Bayesian networks. BMC Bioinformatics, vol. 7, pp.1-14. 2006.DOI
Westhead, DR; Bulpitt, AJ; Bradford, JR; Needham, CJ Protein function prediction in Arabidopsis thaliana in: Barber, S, Baxter, P D, Mardia, K V & Walls, R E (editors) Interdisciplinary Statistics and Bioinformatics, pp.95-96. University of Leeds. 2006.
Needham, CJ; Bradford, JR; Bulpitt, AJ; Westhead, DR Inference in Bayesian networks. Nature Biotechnology, vol. 24, pp.51-53. 2006.DOI
Needham, CJ; Santos, PE; Magee, DR; Devin, VE; Hogg, DC; Cohn, AG Protocols from perceptual observations. Artificial Intelligence, vol. 167, pp.103-136. 2005.DOI
Needham, CJ; Bradford, JR; Bulpitt, AJ; Westhead, DR Application of Bayesian networks to two classification problems in bioinformatics in: Baxter, P D, Mardia, K V & Walls, R E (editors) Quantitative Biology, Shape Analysis and Wavelets, pp.87-90. Leeds. 2005.
Hogg, DC; Cohn, AG; Devin, VE; Magee, DR; Needham, CJ; Santos, PE Learning about objects and activities in: Barber, s, Baxter, P D, Mardia, K V & Walls, R E (editors) Quantitative Biology, Shape Analysis and Wavelets - The 24th Leeds Annual Statistical Workshop, pp.79-82. University of Leeds. 2005.
Magee, DR; Needham, CJ; Santos, PE; Rao, S Inducing the focus of attention by observing patterns in space in: IJCAI Workshop on Modelling Others from Observations (MOO 2005), pp.47-52. 2005.
Needham, CJ; Boyle, RD Multi-resolution template kernels in: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, vol. II, pp.233-236. 2004.
Magee, DR; Needham, CJ; Santos, PE; Cohn, AG; Hogg, DC Autonomous learning for a cognitive agent using continuous models and inductive logic programming from audio-visual input in: Proceedings AAAI-04 Workshop on Anchoring Symbols to Sensor Data, pp.17-24. 2004.
Needham, CJ; Boyle, RD Performance evaluation metrics and statistics for positional tracker evaluation in: Rowley, J L, Paiter, J H, Vincze, M & Paletta, L (editors) Computer Vision Systems, Third International Conference, ICVS 2003, pp.278-289. Springer-Verlag. 2003.LINK
Needham, C J; Boyle, R D Tracking multiple sports players through occlusion, congestion and scale in: Proceedings of the 12th British Machine Vision Conference (BMVC2001), vol. 1, pp.93-102. BMVA. 2001.