Descripción
This comprehensive volume captures the proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning, and Data Mining in Bioinformatics, held in Tübingen, Germany. Aimed at researchers and practitioners, it delves into the intersection of computational methods and biological data analysis. The editors, Clara Pizzuti, Marylyn D. Ritchie, and Mario Giacobini, have curated contributions that showcase cutting-edge techniques and innovative applications in the realm of bioinformatics, emphasizing the transformative role of data mining and machine learning in this rapidly evolving field.
Readers will find in-depth discussions on topics such as algorithm development, optimization strategies, and real-world applications, all aimed at advancing the understanding of biological systems. The work highlights the critical need for interdisciplinary approaches in tackling complex biological questions, ultimately bridging the gap between computational science and molecular biology for improved research outcomes. This volume not only serves as a pivotal resource for enhancing academic knowledge but also inspires future research directions within bioinformatics.
Readers will find in-depth discussions on topics such as algorithm development, optimization strategies, and real-world applications, all aimed at advancing the understanding of biological systems. The work highlights the critical need for interdisciplinary approaches in tackling complex biological questions, ultimately bridging the gap between computational science and molecular biology for improved research outcomes. This volume not only serves as a pivotal resource for enhancing academic knowledge but also inspires future research directions within bioinformatics.
Detalles del libro
Formato
Tapa blanda
Páginas
215 páginas
Idioma
Inglés
Publicado
Apr 2, 2009
Editorial
Springer
Edición
2009
ISBN-10
3642011837
ISBN-13
9783642011832