Cancer Systems Biology

Cancer Systems Biology
Author: Edwin Wang
Publisher: CRC Press
Total Pages: 456
Release: 2010-05-04
Genre: Computers
ISBN: 9781439811863

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The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, cancer researchers can uncover a series of new discov


Cancer Systems Biology
Language: en
Pages: 456
Authors: Edwin Wang
Categories: Computers
Type: BOOK - Published: 2010-05-04 - Publisher: CRC Press

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The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods t
Computational Systems Biology of Cancer
Language: en
Pages: 463
Authors: Emmanuel Barillot
Categories: Science
Type: BOOK - Published: 2012-08-25 - Publisher: CRC Press

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The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematic
Systems Biology of Cancer
Language: en
Pages: 597
Authors: Sam Thiagalingam
Categories: Mathematics
Type: BOOK - Published: 2015-04-09 - Publisher: Cambridge University Press

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An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.
A Practical Guide To Cancer Systems Biology
Language: en
Pages: 153
Authors: Hsueh-fen Juan
Categories: Medical
Type: BOOK - Published: 2017-11-29 - Publisher: World Scientific

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Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from
Recent Developments in Cancer Systems Biology
Language: en
Pages: 272
Authors: Raghu Sinha
Categories: Science
Type: BOOK - Published: 2021-08-18 - Publisher: MDPI

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This book includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and p