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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032755512 ISBN 13: 9781032755519
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032755512 ISBN 13: 9781032755519
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032755512 ISBN 13: 9781032755519
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
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Published by Chapman and Hall/CRC, 2024
ISBN 10: 1032755512 ISBN 13: 9781032755519
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ISBN 10: 1032755512 ISBN 13: 9781032755519
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Published by Chapman And Hall/CRC Dez 2024, 2024
ISBN 10: 1032755512 ISBN 13: 9781032755519
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools. 198 pp. Englisch.
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Language: English
Published by Chapman And Hall/CRC, 2024
ISBN 10: 1032755512 ISBN 13: 9781032755519
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Systems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.