Knowledge Discovery and Emergent Complexity in Bioinformatics First International Workshop, KDECB 2006, Ghent, Belgium, May 10, 2006, Revised Selected Papers /

This book contains selected and revised papers of the International Symposium on Knowledge Discovery and Emergent Complexity in Bioinformatics (KDECB 2006), held at the University of Ghent, Belgium, May 10, 2006. In February 1943, the Austrian physicist Erwin Schrodi ¨ nger, one of the founding fath...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Tuyls, Karl (Editor ), Westra, Ronald (Editor ), Saeys, Yvan (Editor ), Nowé, Ann (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2007.
Edición:1st ed. 2007.
Colección:Lecture Notes in Bioinformatics, 4366
Temas:
Biochemistry.
Data mining.
Artificial intelligence.
Information storage and retrieval systems.
Bioinformatics.
Computer science-Mathematics.
Mathematical statistics.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Information Storage and Retrieval.
Computational and Systems Biology.
Probability and Statistics in Computer Science.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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.

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