Motif kernel generated by genetic programming improves remote homology and fold detection.
In: BMC Bioinformatics, 8(23).
Other |
| [Håndstad et al., 2007]
|
Tony Håndstad and Arne J. H. Hestnes and Pål Sætrom (2007). Motif kernel generated by genetic programming improves remote homology and fold detection. In: BMC Bioinformatics, 8(23). |
| [Howard and Benson, 2003]
|
Daniel Howard and Karl Benson (2003). Evolutionary computation method for pattern recognition of cis-acting sites. In: Biosystems, 72(1-2):19--27. Special Issue on Computational Intelligence in Bioinformatics. |
[Ross, 2001]
|
Brian J. Ross (2001). The Evaluation of a Stochastic Regular Motif Language for Protein Sequences. In: Lee Spector and Erik D. Goodman and Annie Wu and W. B. Langdon and Hans-Michael Voigt and Mitsuo Gen and Sandip Sen and Marco Dorigo and Shahram Pezeshk and Max H. Garzon and Edmund Burke (eds.), Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2001). San Francisco, California, USA, pp. 120--128. Published by Morgan Kaufmann. |
| [Ross, 2002]
|
Brian J. Ross (2002). The Evolution of Stochastic Regular Motifs for Protein Sequences. In: New Generation Computing, 20(2):187--213. |
| [Ross, 2002]
|
Brian J. Ross (2002). Evolving Protein Motifs Using a Stochastic Regular Language with Codon-Level Probabilities. In: Proc. 6th IASTED International Conference, Artificial Intelligence and Soft Computing, ASC 2002. |
| [Vallejo and Ramos, 2001]
|
Edgar E. Vallejo and Fernando Ramos (2001). Evolving Turing machines for Biosequences Recognition and Analysis. In: Julian F. Miller and Marco Tomassini and Pier Luca Lanzi and Conor Ryan and Andrea G. B. Tettamanzi and William B. Langdon (eds.), Genetic Programming, Proceedings of EuroGP'2001. Volume 2038 of LNCS. Lake Como, Italy, pp. 192--203. Published by Springer-Verlag. |