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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
This book constitutes the refereed proceedings of the 11th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2013, held in Vienna, Austria, in April 2013, colocated with the Evo* 2013 events EuroGP, EvoCOP, EvoMUSART and EvoApplications. The 10 revised full papers presented together with 9 poster papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in the field of biological data analysis and computational biology. They address important problems in biology, from the molecular and genomic dimension to the individual and population level, often drawing inspiration from biological systems in oder to produce solutions to biological problems.
Genome Mining and Marine Microbial Natural Products
Two review papers, eight research articles, and one brief report were published in this Special Issue. They showed the rich resources that are present within the genomes of marine microorganisms and discussed the use of recently developed tools and technologies to exploit this genetic richness. Examples include the rational supply of precursors according to the relevant biosynthetic pathway and stress driven discovery together with the use of histone deacetylase inhibitors to facilitate the discovery of new bioactive molecules with potential biopharmaceutical applications. We believe that the content of this Special Issue reflects the current state-of-the-art research in this area and highlights the interesting strategies that are being employed to uncover increasing numbers of exciting novel compounds for drug discovery from marine genetic resources.
Annual Mine Report
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Pharmaceutical Data Mining
Leading experts illustrate how sophisticated computational data mining techniques can impact contemporary drug discovery and development In the era of post-genomic drug development, extracting and applying knowledge from chemical, biological, and clinical data is one of the greatest challenges facing the pharmaceutical industry. Pharmaceutical Data Mining brings together contributions from leading academic and industrial scientists, who address both the implementation of new data mining technologies and application issues in the industry. This accessible, comprehensive collection discusses important theoretical and practical aspects of pharmaceutical data mining, focusing on diverse approach...
Post-Mining of Association Rules: Techniques for Effective Knowledge Extraction
Provides a systematic collection on post-mining, summarization and presentation of association rules, and new forms of association rules.
