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Published by Chapman and Hall/CRC 2016-12-22, 2016
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Published by Chapman and Hall/CRC 2017-07-03, 2017
ISBN 10: 1138407216 ISBN 13: 9781138407213
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Add to basketGebunden. Condition: New. Alan M Moses is currently Associate Professor and Canada Research Chair in Computational Biology in the Departments of Cell & Systems Biology and Computer Science at the University of Toronto. His research touches on many of the major areas in computational.
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ISBN 10: 1138407216 ISBN 13: 9781138407213
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Published by Apple Academic Press Inc., 2017
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Published by Chapman And Hall/CRC Dez 2016, 2016
ISBN 10: 1482258595 ISBN 13: 9781482258592
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts in data analysis using a wide variety of real-world molecular biological examples such as eQTLs, ortholog identification, motif finding, inference of population structure, protein fold prediction and many more. The book takes a pragmatic approach, focusing on techniques that are based on elegant mathematics yet are the simplest to explain to scientists with little background in computers and statistics. 282 pp. Englisch.
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Alan M Moses is currently Associate Professor and Canada Research Chair in Computational Biology in the Departments of Cell & Systems Biology and Computer Science at the University of Toronto. His research touches on many of the majo.
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Published by Chapman and Hall/CRC, 2016
ISBN 10: 1482258595 ISBN 13: 9781482258592
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Taschenbuch. Condition: Neu. Statistical Modeling and Machine Learning for Molecular Biology | Alan Moses | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2016 | Chapman and Hall/CRC | EAN 9781482258592 | 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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Published by Chapman And Hall/CRC, 2017
ISBN 10: 1482258595 ISBN 13: 9781482258592
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts in data analysis using a wide variety of real-world molecular biological examples such as eQTLs, ortholog identification, motif finding, inference of population structure, protein fold prediction and many more. The book takes a pragmatic approach, focusing on techniques that are based on elegant mathematics yet are the simplest to explain to scientists with little background in computers and statistics.