Knowledge Discovery and Emergent Complexity in Bioinformatics (eBook, PDF)

First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006, Revised Selected Papers
Redaktion: Tuyls, Karl; Nowé, Ann; Saeys, Yvan; Westra, Ronald

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 184
• Erscheinungstermin: 5. Mai 2007
• Englisch
• ISBN-13: 9783540710370
• Artikelnr.: 44223214

Autorenporträt

Karl Tuyls, Maastricht University, The Netherlands / Ronald Westra, Maastricht University, The Netherlands / Yvan Saeys, Ghent University, Belgium / Ann Nowé, Vrije Universiteit Brussel, Belgium

Inhaltsangabe

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.