Molecular learning of wDNF formulae, Byoung-Tak Zhang and Ha-Young Jang,
Lecture Notes in Computer Science,
vol. 3892, pp. 427-437, 2006.
[PDF]
A Bayesian algorithm for in vitro molecular evolution of pattern classifiers, Byoung-Tak Zhang and Ha-Young Jang,
Lecture Notes in Computer Science
, vol. 3384, pp. 458-467, 2005.
[PDF]
Temperature gradient-based DNA computing for graph problems with weighted edges, Lee, J. Y., Shin, S.-Y., Augh, S. J., Park, T. H., and Zhang, B.-T.,
Lecture Notes in Computer Science, vol. 2568, pp. 73-84, 2003. [PDF]
Molecular immunocomputing with application to alphabetical pattern recognition mimics the characterization of ABO blood type
, Kim, S. D., Shin, K.-R., and Zhang, B.-T., Proceedings of the 2003 Congress on Evolutionary
Computation, vol. 4, pp. 2549-2556, 2003.
Molecular algorithms for efficient and reliable DNA computing, Zhang,
B.-T. and Shin, S.-Y., Proceedings of the Third Annual Genetic Programming
Conference (GP-98), Koza, J.R. et al. (Eds.), Morgan Kaufmann, pp. 735-742,
1998.
Molecular learning with DNA kernel machines, Y.-K. Noh, D.D. Lee, K.-A. Yang, C. Kim, and B.-T. Zhang, BioSystems, 137:73-83, 2015. [PDF]
Molecular machine learning in vitro, J.-H. Lee, J.-W. Kim, R. Deaton, S. H. Lee, T. H. Park, and B.-T.
Zhang, International Conference on DNA Computing and Molecular Programming (DNA
18), p.55, 2012.
[PDF] (poster)
In vitro molecular learning of a DNA hypernetwork,
J.-H. Lee, S.H. Lee, R. Deaton, T.H. Park, B.-T. Zhang, 17th International
Conference on DNA Computing and Molecular Programming (DNA 17), pp. 46,
(poster), 2011.
In vitro molecular pattern classification via DNA-based weighted sum operation, H.-W. Lim, S.H. Lee, K.-A. Yang, J.Y. Lee, S.-I. Yoo, T. H. Park, and B.-T. Zhang, BioSystems, 100(1):1-7, 2010. [PDF]
Version space learning with DNA molecules, Lim, H.-W., Yun, J.-E.,
Jang, H.-M., Chai, Y.-G., Yoo, S.-I., and Zhang, B.-T., Lecture Notes in
Computer Science, vol. 2568, pp. 143-155, 2003. [PDF]
Biomolecular computation with molecular beacons for quantitative analysis of target nucleic acids, H.-W. Lim, S.H. Lee, K.-A. Yang, S-I. Yoo, T.H. Park, and B.-T. Zhang, Biosystems, 111(1):11-17, 2013. [PDF]
Rule-based in vitro molecular classification and visualization, S.-Y. Shin, K.-A. Yang, I.-H. Lee, S.H. Lee. T.H. Park, and B.-T. Zhang, BioChip Journal,7(1), 2013. [PDF]
Non-linear molecular pattern classification using molecular beacons with multiple targets, I.-H. Lee, S.H. Lee. T.H. Park, and B.-T. Zhang, BioSystems, 114(3):206-213, 2013. [PDF]
The use of gold nanoparticle aggregation for DNA computing and logic-based biomolecular detection, I.-H. Lee, K.-A. Yang, J.-H. Lee, J.-Y. Park, Y. G. Chai, J.-H. Lee, and B.-T. Zhang, Nanotechnology, 2008 (to appear).
RCA-based detection methods for resolution refutation, Lee, I.-H.,
Park, J. Y., Chai, Y.-G., and Zhang, B.-T., Lecture Notes in Computer
Science, vol. 2943, pp. 32-36, 2004.
Oligonucleotide-based theorem proving by cross-linking gold nanoparticle assembly, Park, J.-Y., Kim, T.-G., Lee, I.-H., Park, J.-G., Zhang, B.-T.,
and Chai, Y.-G., Preliminary Proceedings of the Tenth International Meeting
on DNA Computing, p.446, 2004
DNA implementation of theorem proving with resolution refutation in propositional logic, Lee, I.-H., Park, J.-Y., Jang, H.-M., Chai, Y.-G., and
Zhang, B.-T., Lecture Notes in Computer Science, vol. 2568, pp. 156-167,
2003. [PDF]
Solving travelling salesman problems using molecular programming,
Shin, S.-Y., Zhang, B.-T., and Jun, S.-S., Proceedings of the 1999 Congress
on Evolutionary Computation (CEC99), vol. 2, pp. 994-1000, 1999. [PDF]
NACST/Seq: A sequence design system with multiobjective optimization,
Kim, D., Shin, S.-Y., Lee, I.-H., and Zhang, B.-T., Lecture Notes in Computer
Science, vol. 2568, pp. 242-251, 2003. [PDF]
DNA sequence optimization using constrained multi-objective evolutionary algorithm, Lee, I.-H., Shin, S.-Y., and Zhang, B.-T., Proceedings of the
2003 Congress on Evolutionary Computation, vol. 4, pp. 2270-2276, 2003.
DNA computing complexity analysis using DNA/DNA hybridization kinetics, Shin, S.-Y., Lee, E. J., Park, T. H., and Zhang, B.-T.,
Preliminary Proceedings of the Ninth International Meeting on DNA Based
Computers, p. 207, 2003. [PS]
Evolutionary sequence generation for reliable DNA computing, Shin,
S.-Y., Kim, D.-M., Lee, I.-H., and Zhang, B.-T., Proceedings of the 2002
Congress on Evolutionary Computation (CEC2002), vol. 1, pp. 79-84, 2002. [PDF]
Code optimization for DNA computing of maximal cliques, Zhang, B.-T.
and Shin, S.-Y., Advances in Soft Computing: Engineering Design and
Manufacturing, Springer-Verlag, 1998. pp. 735-742, Morgan Kaufmann, 1998
Ligation module for in-vitro selection in DNA computing, D. van
Noort, I. H. Lee, L. F. Landweber, and B. T. Zhang, SPIE International
Symposium on Smart Materials, Nano-, and Micro-Smart Systems, 2004. [PDF]
PDMS valves in DNA computers, D. van Noort and B.-T. Zhang, SPIE
International Symposium on Smart Materials, Nano-, and Micro-Smart Systems,
2004. [PDF]
A lab-on-a-chip module for bead separation in DNA-based concept learning, Lim, H.-W., Jang, H.-M., Ha, S.-M., Chai, Y.-G., Yoo, S.-I., and
Zhang, B.-T., Lecture Notes in Computer Science, vol. 2943, pp. 1-10,
2004.
Molecular evolutionary computing lab-on-a-chip: A first design and simulation, Zhang, B.-T., Jang, H.-Y., Cho, D.-Y., and Lee, I.-H.,
Proceedings of the 10th International Conference on Neural Information
Processing, pp. 516-519, 2003.
Effectiveness of denaturation temperature gradient-polymerase chain reaction for biased DNA algorithms, Lee, J. Y., Zhang, B.-T., and Park, T.
H., Preliminary Proceedings of the Ninth International Meeting on DNA Based
Computers, p. 208, 2003. [PDF]
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Last update: January 11, 2016.