Bioinformatics involve the creation and advancement of algorithms using techniques including computational intelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level. Major research efforts in the field include sequence analysis, gene finding, genome annotation, protein structure alignment analysis and prediction, prediction of gene expression, protein-protein docking/interactions, and the modeling of evolution. This book deals with the application of computational intelligence in bioinformatics. Addressing the various issues of bioinforatics using different computational intelligence approaches is the novelty ofthis edited volume. Reports recent research results on computational intelligence in bioinformatics INDICE: Computational Intelligence Algorithms and DNA Microarrays. Belief Networks for Bioinformatics. Swarm Intelligence Algorithms in Bioinformatics. Feature construction to discover knowledge from biological sequences. Time Course Gene Expression Classification with Time Lagged Recurrent Neural Network. Tree-Based Algorithms for Protein Classification. Comparisons of Supervised Learning Approaches for SNP Selections and Disease Classifications. Covariance-Model-Based RNA Gene Finding: Using Dynamic Programming versus Evolutionary Computing. Fuzzy classification for gene expression data analysis. Towards the Enhancement of Gene Selection Performance. Saccharomyces pombe and Saccharomycescerevisiae Gene Regulatory Network Inference Using the Fuzzy Logic Network. Multivariate Regression Applied to Gene Expression Dynamics. The Amine System Project: Systems Biology in Practice. DNA Encoding Methods in the Field of DNA Computing. Index.
- ISBN: 978-3-540-76802-9
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 330
- Fecha Publicación: 01/02/2008
- Nº Volúmenes: 1
- Idioma: Inglés