Evolutionary computation in bioinformatics Gary B. Fogel, David W. Corne

Incluye bibliografía

Part I : Introduction to the concepts of bioinformatics and evolutionary computation - An introduction to bioinformatics and evolutionary computation - An introduction to bioinformatics for computer scientists - An introduction to evolutionary computation for biologists - Part II : Sequence and structure alignment - Determining genome sequences from experimental data using evolutionary computation - Protein structure alignment using evolutionary computation - Using genetic algorith form pairwise and multiple sequence alignments - Part III : Protein folding - On the evolutionary search for solutions to the portein folding problem - Toward effectivie polypeptide structure prediction with parallel fast messy genetic algorithms - Application of evolutionary computation to protein folding with specialized operators - Part IV : Machine learning and inference - Clustering microarray data with evolutionary algorithms - Evolutionary computation and fractal visualization of sequence data - Identifying metabolic pathways gene regulation networks with evolutionary algorithms - Evolutionary computational support for the characterization of biological systems - Part V : Feature selection - Discovery of genetic and environmental interactions in disease data using evolutionary computation - Feature selection methods based on genetic algorithms for in Silico Drug design - Interpreting analytical spectra with evolutionary computation.

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