Knowledge Discovery and Emergent Complexity in Bioinformatics: First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006, Revised Selected Papers / Edition 1
by Karl Tuyls
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Knowledge Discovery and Emergent Complexity in Bioinformatics, KDECB 2006, held in Ghent, Belgium, in May 2006, in connection with the 15th Belgium-Netherlands Conference on Machine Learning. The 12 revised full papers cover various topics in the areas of knowledge
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This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Knowledge Discovery and Emergent Complexity in Bioinformatics, KDECB 2006, held in Ghent, Belgium, in May 2006, in connection with the 15th Belgium-Netherlands Conference on Machine Learning. The 12 revised full papers cover various topics in the areas of knowledge discovery and emergent complexity research in bioinformatics.
Product Details
- ISBN-13:
- 9783540710363
- Publisher:
- Springer Berlin Heidelberg
- Publication date:
- 03/22/2007
- Series:
- Lecture Notes in Computer Science / Lecture Notes in Bioinformatics Series, #4366
- Edition description:
- 2007
- Pages:
- 184
- Product dimensions:
- 9.21(w) x 6.14(h) x 0.42(d)
Table of Contents
Knowledge Discovery and Emergent Complexity in Bioinformatics.- Boolean Algebraic Structures of the Genetic Code: Possibilities of Applications.- Discovery of Gene Regulatory Networks in Aspergillus fumigatus .- Complexity Measures for Gene Assembly.- Learning Relations from Biomedical Corpora Using Dependency Trees.- Advancing the State of the Art in Computational Gene Prediction.- Enhancing Coding Potential Prediction for Short Sequences Using Complementary Sequence Features and Feature Selection.- The NetGenerator Algorithm: Reconstruction of Gene Regulatory Networks.- On the Neuronal Morphology-Function Relationship: A Synthetic Approach.- Analyzing Stigmergetic Algorithms Through Automata Games.- The Identification of Dynamic Gene-Protein Networks.- Sparse Gene Regulatory Network Identification.Customer Reviews
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