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Computational Intelligence, Bioinformatics and Computational Biology: A Brief Overview of Methods, Problems and Perspectives

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The paper is an overview of methods of computational intelligence (CI) used in the area of Bioinformatics (BI) for the purpose of advancing the area Computational Biology (CB) and facilitating discoveries from biological data. CI is the area of developing generic intelligent information processing methods and systems with wider applications, one of them being Bioinformatics. CI adopts many principles from Biology, thus offering suitable methods and tools for BI. While CB aims at understanding the biology principles through their computational modeling, BI is aiming at the use and the development of new information methods and systems to enhance the storage, the analysis, modeling, and discovery from biological data. The synergism between the three disciplines, their methodologies, problems, and some current solutions are review in the paper. Some new methods and experimental results are introduced, such as feature and model optimization with genetic algorithms applied on gene expression data.
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Keywords: BIOINFORMATICS; COMPUTATIONAL BIOLOGY; COMPUTATIONAL INTELLIGENCE; GENE EXPRESSION PROFILING; GENE REGULATORY NETWORKS; GENOMICS; NEURAL NETWORKS; PROTEOMICS; SYSTEM BIOLOGY

Document Type: Review Article

Publication date: 01 December 2005

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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