T cell receptor signalling inspired kernel density estimation and anomaly detection

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5666 LNCS, Issue , 2009, Pages 122-135

  Owens, Nick D L ^a   Greensted, Andy ^a   Timmis, Jon ^a   Tyrrell, Andy ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANOMALY DETECTION; ARTIFICIAL IMMUNE SYSTEM; DYNAMIC NATURE; INTRACELLULAR SIGNALLING; KERNEL DENSITY ESTIMATION; PARZEN WINDOWS; RECEPTOR SIGNALLING; T CELL RECEPTOR; T CELLS;

IMMUNOLOGY; PROBABILITY DISTRIBUTIONS;

CELL MEMBRANES;

EID: 70350337144     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-03246-2_15     Document Type: Conference Paper

References (12)

1. Germain, R.N., Stefanov, I.: The dynamics of T cell receptor signaling: complex orchestration and the key roles of tempo and cooperation. A. Rev. Imm., 17 (1999)
2. Altan-Bonnet, G., Germain, R.N.: Modeling T cell antigen discrimination based on feedback control of digital ERK responses. PLoS Biol. 3, 356 (2005)
3. Owens, N.D.L., Timmis, J., Greensted, A., Tyrrell, A.: Modelling the Tunability of Early T cell Signalling Events. In: Bentley, P.J., Lee, D., Jung, S. (eds.) ICARIS 2008. LNCS, vol. 5132, pp. 12-23. Springer, Heidelberg (2008)
4. Owens, N.D.L., Timmis, J., Greensted, A., Tyrrell, A.: Elucidation of T Cell Signalling Models. Submitted to Journal of Theoretical Biology (2009)
5. Feinerman, O., Veiga, J., Dorfman, J.R., Germain, R.N., Altan-Bonnet, G.: Variability and Robustness in T cell Activation from Regulated Heterogeneity in Protein Levels. Science 321 (2008)
6. Silverman, B.W.: Density Estimation for Statistics and Data Analysis. Chapman & Hall, Boca Raton (1986)
7. Bishop, C.M.: Novelty Detection and neural network validation. IEE Proceedings of Vision, Image and Signal Processing 141, 4 (1994)
8. Timmis, J., Andrews, P., Owens, N., Clark, E.: An Interdisciplinary Perspective on Artificial Immune Systems. Evolutionary Intelligence 1(1), 5-26 (2008)
9. Stepney, S., Smith, R.E., Timmis, J., Tyrrell, A.M., Neal, M.J., Hone, A.N.W.: Conceptual Frameworks for Artificial Immune Systems. Int. J. Unconventional Computing 1(3), 315-338 (2005)
10. Stibor, T.: An Empirical Study of Self/Non-Self Discrimination in Binary Data with a Kernel Estimator. In: Bentley, P.J., Lee, D., Jung, S. (eds.) ICARIS 2008. LNCS, vol. 5132, pp. 352-363. Springer, Heidelberg (2008)
11. Duda, O.R., Hart, P.E., Stork, D.G.: Pattern Classification. Wiley & Sons, Chichester (2001)
12. Bishop, C.M.: Neural Networks for Pattern Recognition. Oxford Univ. Press, Oxford (1995)