Emergent Computation: Emphasizing Bioinformatics

Description

Emergent Computation emphasizes the interrelationship of the different classes of languages studied in mathematical linguistics (regular, context-free, context-sensitive, and type 0) with aspects to the biochemistry of DNA, RNA, and proteins. In addition, aspects of sequential machines such as parity checking and semi-groups are extended to the study of the Biochemistry of DNA, RNA, and proteins. Mention is also made of the relationship of algebraic topology, knot theory, complex fields, quaternions, and universal turing machines and the biochemistry of DNA, RNA, and proteins.

Emergent Computation tries to avoid an emphasis upon mathematical abstraction

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1. Ebooks list page : 2543
2. Knowledge Discovery and Emergent Complexity in Bioinformatics: First International Workshop, KDECB 2
3. Knowledge Discovery and Emergent Complexity in Bioinformatics: First International Workshop, KDECB 2
4. Universality and Emergent Computation in Cellular Neural Networks
5. Universality and Emergent Computation in Cellular Neural Networks
6. Universality and Emergent Computation in Cellular Neural Networks (World Scientific Series on Nonlinear Science, Series a, 43)
7. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
8. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
9. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
10. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
11. Evolutionary Computation in Bioinformatics (The Morgan Kaufmann Series in Artificial Intelligence)
12. Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics: 5th European Conferenc
13. Advanced Practice Nursing: Emphasizing Common Roles
14. Mathematica Laboratories for Mathematical Statistics: Emphasizing Simulation and Computer Intensive Methods
15. Knowledge Discovery in Bioinformatics: Techniques, Methods, and Applications (Wiley Series in Bioinformatics)
16. Bioinformatics for Geneticists: A Bioinformatics Primer for the Analysis of Genetic Data (2007)