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Book Synopsis
Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis procedures central to cancer systems biology research and education. Readers will learn how to generate and analyze high-throughput data, therapeutic target protein structure modeling and docking simulation for drug discovery. This is the first practical guide for students and scientists who wish to become systems biologists or utilize the approach for cancer research.

Practical Guide To Cancer Systems Biology, A

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    Order before 4pm today for delivery by Mon 22 Jun 2026.

    A Hardback by Hsueh-fen Juan, Hsuan-cheng Huang

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      View other formats and editions of Practical Guide To Cancer Systems Biology, A by Hsueh-fen Juan

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: 17/01/2018
      ISBN13: 9789813229143, 978-9813229143
      ISBN10: 9813229144

      Description

      Book Synopsis
      Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis procedures central to cancer systems biology research and education. Readers will learn how to generate and analyze high-throughput data, therapeutic target protein structure modeling and docking simulation for drug discovery. This is the first practical guide for students and scientists who wish to become systems biologists or utilize the approach for cancer research.

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