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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

---

Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.

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.