The sequencing of the genomes of humans and other organisms is inspiring the developmentofnew statisticalandbioinformatics tools that we hope canmodify the current understanding of human diseases and therapies. As our knowledge about the human genome increases so does our belief that to fully grasp the mechanisms of diseases we need to understand their genetic basis and the p- teomicsbehind them and to integratethe knowledgegeneratedin thelaboratory in clinical settings. The new genetic and proteomic data has brought forth the possibility of developing new targets and therapies based on these ?ndings, of implementing newly developed preventive measures, and also of discovering new research approaches to old problems. To fully enhance our understanding of disease processes, to develop more and better therapies to combat and cure diseases, and to develop strategies to prevent them, there is a need for synergy of the disciplines involved, medicine, molecular biology, biochemistry and computer science, leading to more recent ?elds such as bioinformatics and biomedical informatics. The 6th International Symposium on Biological and Medical Data Analysis aimed to become a place where researchersinvolved in these diversebut incre- ingly complementary areas could meet to present and discuss their scienti?c results. The papers in this volume discuss issues from statistical models to arc- tectures and applications to bioinformatics and biomedicine. They cover both practical experience and novel research ideas and concepts.
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This book constitutes the refereed proceedings of the 6th International Symposium on Biological and Medical Data Analysis, ISBMDA 2005, held in Aveiro, Portugal, in November 2005. The 39 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections on medical databases and information systems, data analysis and image processing, knowledge discovery and data mining, statistical methods and tools for biomedical data analysis, decision support systems, collaborative systems in biomedical informatics, as well as computational models, structural analysis, and microarray data analysis in the scope of bioinformatics.
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