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This book offers a detailed overview of translational bioinformatics together with real-case applications. Translational bioinformatics integrates the areas of basic bioinformatics, clinical informatics, statistical genetics and informatics in order to further our understanding of the molecular basis of diseases. By analyzing voluminous amounts of molecular and clinical data, it also provides clinical information, which can then be applied. Filling the gap between clinic research and informatics, the book is a valuable resource for human geneticists, clinicians, health educators and policy makers, as well as graduate students majoring in biology, biostatistics, and bioinformatics.
Life sciences. --- Human genetics. --- Health informatics. --- Bioinformatics. --- Biostatistics. --- Life Sciences. --- Human Genetics. --- Health Informatics. --- Drug development. --- Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Development of drugs --- Drugs --- New drug development --- Bio-informatics --- Biological informatics --- Development --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing --- Medicine --- Pharmacology --- Pharmacy --- Statistical methods. --- Medical records --- Data processing. --- EHR systems --- EHR technology --- EHRs (Electronic health records) --- Electronic health records --- Electronic medical records --- EMR systems --- EMRs (Electronic medical records) --- Information storage and retrieval systems --- Genetics --- Heredity, Human --- Human biology --- Physical anthropology --- Medical care --- Biological statistics --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Statistical methods
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This book offers a detailed overview of translational bioinformatics together with real-case applications. Translational bioinformatics integrates the areas of basic bioinformatics, clinical informatics, statistical genetics and informatics in order to further our understanding of the molecular basis of diseases. By analyzing voluminous amounts of molecular and clinical data, it also provides clinical information, which can then be applied. Filling the gap between clinic research and informatics, the book is a valuable resource for human geneticists, clinicians, health educators and policy makers, as well as graduate students majoring in biology, biostatistics, and bioinformatics.
Mathematical statistics --- Biomathematics. Biometry. Biostatistics --- Human genetics --- Human medicine --- Computer. Automation --- cyclohexanon --- medische genetica --- bio-informatica --- biostatistiek --- genetica --- medische informatica --- biometrie --- moleculaire biologie
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