Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational techniques to analyse high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for unde…
"This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it hig…
"This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it hig…
"This compendium contains 10 chapters written by world renowned researchers with expertise in semantic computing, genome sequence analysis, biomolecular interaction, time-series microarray analysis, and machine learning algorithms. The salient feature of this book is that it hig…
This book constitutes the refereed proceedings of the 9th International Workshop on Algorithms in Bioinformatics, WABI 2009, held in Philadelphia, USA, in September 2009. The 34 revised full papers presented together with the abstract of a keynote talk were carefully reviewed an…
Examining clustering using multiobjective genetic algorithms, this text offers instructions for relevant techniques and demonstrate real-world applications in several disciplines.