Description

Book Synopsis
This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.

Biological Pattern Discovery With R: Machine

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    RRP £135.00 – you save £13.50 (10%)

    Order before 4pm tomorrow for delivery by Fri 19 Jun 2026.

    A Hardback by Zheng Rong Yang

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      View other formats and editions of Biological Pattern Discovery With R: Machine by Zheng Rong Yang

      Publisher: World Scientific Publishing Co Pte Ltd
      Publication Date: 04/10/2021
      ISBN13: 9789811240119, 978-9811240119
      ISBN10: 9811240116

      Description

      Book Synopsis
      This book provides the research directions for new or junior researchers who are going to use machine learning approaches for biological pattern discovery. The book was written based on the research experience of the author's several research projects in collaboration with biologists worldwide. The chapters are organised to address individual biological pattern discovery problems. For each subject, the research methodologies and the machine learning algorithms which can be employed are introduced and compared. Importantly, each chapter was written with the aim to help the readers to transfer their knowledge in theory to practical implementation smoothly. Therefore, the R programming environment was used for each subject in the chapters. The author hopes that this book can inspire new or junior researchers' interest in biological pattern discovery using machine learning algorithms.

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