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Published by CO-PUBLISHED WITH World Scientif, 2019
ISBN 10: 9811203571 ISBN 13: 9789811203572
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Published by World Scientific Publishing Co Pte Ltd, 2019
ISBN 10: 9811203571 ISBN 13: 9789811203572
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ISBN 10: 9811203571 ISBN 13: 9789811203572
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ISBN 10: 9811203571 ISBN 13: 9789811203572
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnWith the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computatio.
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Add to basketBuch. Condition: Neu. APPLICATION OF OMICS, AI & BLOCKCHAIN IN BIOINFORMATICS RES | Tsai Jeffrey J-P | Buch | Gebunden | Englisch | 2019 | World Scientific | EAN 9789811203572 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Add to basketBuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level data problems in bioinformatics and biomedical research in this post-genomics era, computational biology has been playing an increasingly important role in paving the way as basis for patient-centric healthcare.Two such areas are: (i) implementing AI algorithms supported by biomedical data would deliver significant benefits/improvements towards the goals of precision medicine (ii) blockchain technology will enable medical doctors to securely and privately build personal healthcare records, and identify the right therapeutic treatments and predict the progression of the diseases.A follow-up in the publication of our book Computation Methods with Applications in Bioinformatics Analysis (2017), topics in this volume include: clinical bioinformatics, omics-based data analysis, Artificial Intelligence (AI), blockchain, big data analytics, drug discovery, RNA-seq analysis, tensor decomposition and Boolean network.