BIOLOGICAL PATTERN DISCOVERY WITH R: MACHINE LEARNING APPROACHES PDF

BIOLOGICAL PATTERN DISCOVERY WITH R: MACHINE LEARNING APPROACHES PDF

Name:
BIOLOGICAL PATTERN DISCOVERY WITH R: MACHINE LEARNING APPROACHES PDF

Published Date:
09/17/2021

Status:
[ Active ]

Description:

Publisher:
World Scientific Publishing Co.

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Czech version):
200 business days

SKU:
biological-pattern-discovery-with-r-machine-learning-approaches_2825910

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ISBN: 9789811240119

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.

Author: Zheng Rong Yang


Edition : 21
File Size : 1 file , 15 MB
Number of Pages : 462
Published : 09/17/2021
isbn : 9789811240119

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